publications

Publications in reversed chronological order by year. Current members and alumni are linked to their member page.

2026

  1. A computational community blind challenge on pan-coronavirus drug discovery data
    MacDermott-Opeskin H , Scheen J , Wognum C , Horton JT , West D , Payne AM , Castellanos MA , Colby S , Griffen E , Cousins D , Kaminow B , Mey A , Chodera JD , and 112 more authors
    2026
    Github: https://github.com/asapdiscovery/asap-blind-challenge-paper
  2. Trastuzumab Deruxtecan Resistance via Loss of HER2 Expression and Binding
    Chen W , Gupta A , Mai N , Nag S , Lau JS , Singh S , Chodera JD , Liu B , Stanchina E , Pareja F , and 7 more authors
    Cancer Discovery, 2026

2025

  1. Developing and benchmarking Sage 2.3.0 with the AshGC neural network charge model
    Wang L , Alibay I , Boothroyd S , Cavender CE , Horton JT , McIsaac AR , Mitchell JA , Thompson MW , Wagner JR , Westbrook BR , Chodera JD , and 3 more authors
    2025
    GitHub: https://github.com/openforcefield/ashgc-v1.0-fit
  2. Large-scale collaborative assessment of binding free energy calculations for drug discovery using OpenFE
    Baumann HM , Horton JT , Henry MM , Travitz A , Ries B , Gowers RJ , Swenson DWH , Pulido I , Rufa D , Dotson DL , Scheen J , Stern CD , Zhang I , and 29 more authors
    2025
    GitHub: https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
  3. Blind challenges let us see the path forward for predictive models
    Chodera JD , Walters WP , Kosuri S , Fraser JS
    2025
  4. OpenADMET: Embracing the Avoid-Ome to Transform Drug Discovery
    Fraser JS , Edgar S , Handly LN , Kosuri S , Chodera JD , Murcko M , Walters WP
    2025
  5. The journey of data: Lessons learned in modeling kinase affinity, selectivity, and resistance [Article v1.0]
    Castro RL , Rodríguez-Guerra J , Schaller D , Kimber TB , Taylor C , White JB , Backenköhler M , Groß J , Payne AM , Kaminow B , Pulido I , Singh S , Chodera JD , and 3 more authors
    Living Journal of Computational Molecular Science, 2025
    GitHub: https://github.com/openkinome/kinoml-techpaper-LiveCoMS
  6. payne2025how.jpg
    How many crystal structures do you need to trust your docking results?
    Payne AM , Kaminow B , MacDermott-Opeskin H , Pulido I , Scheen J , Castellanos MA , Fearon D , Chodera JD , Singh S
    2025
    GitHub: https://github.com/choderalab/drugforge
  7. Redefining druggable targets with artificial intelligence
    Akinsanya K , AlQuraishi M , Boija A , Chodera J , Cichońska A , Levine MV , Moult J , Stuart L , Tourassi G , Zou J , and 2 more authors
    Nature Biotechnology, 2025
  8. A structure-based computational pipeline for broad-spectrum antiviral discovery
    Castellanos MA , Payne AM , Scheen J , MacDermott-Opeskin H , Pulido I , Balcomb BH , Griffen EJ , Fearon D , Barr H , Lahav N , Chodera JD , and 4 more authors
    2025
    GitHub: https://github.com/choderalab/drugforge
  9. Open-science discovery of DNDI-6510, a compound that addresses genotoxic and metabolic liabilities of the COVID Moonshot SARS-CoV-2 Mpro lead inhibitor
    Griffen EJ , Fearon D , McGovern BL , Koekemoer L , Balcomb BH , Szommer T , Fate G , Robinson RP , Lefker BA , Duberstein S , Chodera J , and 24 more authors
    2025
  10. Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding
    Singh S , Gapsys V , Aldeghi M , Schaller D , Rangwala AM , White JB , Bluck JP , Scheen J , Glass WG , Guo J , Chodera JD , and 5 more authors
    The Journal of Physical Chemistry B, 2025
    GitHub: https://github.com/openkinome/study-abl-resistance
  11. The Need for Continuing Blinded Pose- and Activity Prediction Benchmarks
    Kramer C , Chodera J , Damm-Ganamet KL , Gilson MK , Günther J , Lessel U , Lewis RA , Mobley D , Nittinger E , Pecina A , and 2 more authors
    The Journal of Chemical Information and Modeling, 2025
  12. Fine-tuning molecular mechanics force fields to experimental free energy measurements
    2025
    GitHub: https://github.com/choderalab/timemachine_hydration_paper

2024

  1. Neural network potentials for enabling advanced samll-molecule drug discovery and generative design
    Barnett S , Chodera J
    GEN Biotechnology, 2024
  2. EspalomaCharge: Machine learning-enabled ultrafast partial charge assignment
    Journal of Chemical Physics, 2024
    GitHub: https://github.com/choderalab/espaloma_charge
  3. DrugGym: A testbed for the economics of autonomous drug discovery
    2024
    GitHub: https://github.com/choderalab/drug-gym/
  4. Enhancing protein–ligand binding affinity predictions using neural network potentials
    Zariquiey FS , Galvelis R , Gallicchio E , Chodera JD , Markland TE , Fabritiis G
    Journal of Chemical Information and Modeling, 2024
    GitHub: https://github.com/compsciencelab/ATM_benchmark/tree/main/ATM_With_NNPs
  5. Benchmarking Cross-Docking Strategies in Kinase Drug Discovery
    Schaller DA , Christ CD , Chodera JD , Volkamer A
    Journal of Chemical Information and Modeling, 2024
    GitHub: https://github.com/openkinome/kinase-docking-benchmark
  6. Nutmeg and SPICE: Models and data for biomolecular machine learning
    Eastman P , Pritchard BP , Chodera JD , Markland TE
    Journal of Chemical Theory and Computation, 2024
    GitHub: https://github.com/openmm/spice-dataset
  7. Machine-learned molecular mechanics force fields from large-scale quantum chemical data
    Takaba K , Friedman AJ , Cavender CE , Behara PK , Pulido I , Henry MM , MacDermott-Opeskin H , Iacovella CR , Nagle AM , Payne AM , Chodera JD , Wang Y , and 2 more authors
    Chemical Science, 2024
    GitHub: https://github.com/choderalab/espaloma-0.3.0-manuscript

2023

  1. OpenMM 8: molecular dynamics simulation with machine learning potentials
    Eastman P , Galvelis R , Peláez RP , Abreu CR , Farr SE , Gallicchio E , Gorenko A , Henry MM , Hu F , Huang J , Singh S , Wang Y , Zhang I , Chodera JD , and 11 more authors
    Journal of Physical Chemistry B, 2023
    GitHub: http://openmm.org
  2. SPICE, a dataset of drug-like molecules and peptides for training machine learning potentials
    Eastman P , Behara PK , Dotson DL , Galvelis R , Herr JE , Horton JT , Mao Y , Chodera JD , Pritchard BP , Wang Y , and 2 more authors
    Scientific Data, 2023
    GitHub: https://github.com/openmm/spice-dataset

2022

  1. MEN1 mutations mediate clinical resistance to Menin inhibition
    Perner F , Stein E , Singh S , Wenge D , Apazidis A , Rahnamoun H , Anand D , Kim J , Marinaccio C , Hatton C , Schaller D , Chodera JD , and 16 more authors
    Nature, 2022
    GitHub: https://github.com/choderalab/men1
  2. Development and benchmarking of Open Force Field 2.0.0—the Sage small molecule force field
    Boothroyd S , Behara PK , Madin OC , Hahn DF , Jang H , Gapsys V , Wagner JR , Horton JT , Dotson DL , Thompson MW , Chodera JD , and 8 more authors
    2022
    GitHub: https://github.com/openforcefield/openff-sage
  3. Open Force Field BespokeFit: Automating bespoke torsion parametrization at scale
    Horton JT , Boothroyd S , Wagner J , Mitchell JA , Gokey T , Dotson DL , Behara PK , Ramaswamy VK , Mackey M , Chodera JD , and 3 more authors
    2022
    GitHub: https://github.com/openforcefield/openff-bespokefit
  4. NNP/MM: Fast molecular dynamics simulations with machine learning potentials and molecular mechanics
    Galvelis R , Varela-Rial A , Doerr S , Fino R , Eastman P , Markland TE , Chodera JD , Fabritiis GD
    2022
    GitHub: http://github.com/openmm/openmm-torch
  5. Improving force field accuracy by training against condensed phase mixture properties
    Boothroyd S , Madin OC , Mobley DL , Wang L , Chodera JD , Shirts MR
    Journal of Chemical Theory and Computation, 2022
    GitHub: https://github.com/SimonBoothroyd/binary-mixture-publication
  6. The Open Force Field Evaluator: An automated, efficient, and scalable framework for the estimation of physical properties from molecular simulation
    Boothroyd S , Wang L , Mobley DL , Chodera JD , Shirts MR
    Journal of Chemical Theory and Computation, 2022
    GitHub: https://github.com/openforcefield/openff-evaluator
  7. SAMPL7 protein-ligand challenge: A community-wide evaluation of computational methods against fragment screening and pose-prediction
    Grosjean H , Işık M , Aimon A , Mobley D , Chodera J , Delft F , Biggin PC
    Journal of Computer Aided Molecular Design, 2022
    GitHub: https://github.com/samplchallenges/SAMPL7/tree/master/protein_ligand
  8. CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding
    Grosjean H , Işık M , Aimon A , Mobley D , Chodera J , Delft F , Biggin PC
    Nature Reviews Chemistry, 2022
  9. Bayesian inference-driven model parameterization and model selection for 2CLJQ fluid models
    Madin OC , Boothroyd S , Messerly RA , Fass J , Chodera JD , Shirts MR
    Journal of Chemical Informatics and Modeling, 2022
    GitHub: https://github.com/SimonBoothroyd/bayesiantesting/tree/combined_run
  10. GCN2 kinase activation by ATP-competitive kinase inhibitors
    Tang CP , Clark O , Ferrarone JR , Campos C , Lalani AS , Chodera JD , Intlekofer AM , Elemento O , Mellinghoff IK
    Nature Chemical Biology, 2022
    GitHub: https://github.com/cot2005/Tang_et_al_2021
  11. INK4 Tumor Suppressor Proteins Mediate Resistance to CDK4/6 Kinase Inhibitors
    Li Q , Jiang B , Guo J , Shao H , Priore ISD , Chang Q , Kudo R , Li Z , Razavi P , Liu B , Chodera JD , and 14 more authors
    Cancer Discovery, 2022
    GitHub: https://github.com/choderalab/CDK_PROTAC
  12. Capturing non-local through-bond effects in molecular mechanics force fields: II. Using fractional bond orders to fit torsion parameters
    Stern CD , Maat J , Dotson DL , Bayly CI , Smith DGA , Mobley DL , Chodera JD
    2022
    GitHub: https://github.com/choderalab/fragmenter_data/tree/master/wbo-manuscript-figures

2021

  1. Teaching free energy calculations to learn from experimental data
    2021
    GitHub: https://github.com/choderalab/neutromeratio
  2. The Open Force Field Evaluator: An automated, efficient, and scalable framework for the estimation of physical properties from molecular simulation
    Boothroyd S , Wang L , Mobley D , Chodera JD , Shirts MR
    2021
    GitHub: https://github.com/openforcefield/openff-evaluator
  3. Fitting quantum machine learning potentials to experimental free energy data: Predicting tautomer ratios in solution
    2021
    GitHub: https://github.com/choderalab/neutromeratio
  4. SARS-CoV-2 RBD antibodies that maximize breadth and resistance to escape
    Starr TN , Czudnochowski N , Zatta F , Park Y , Liu Z , Addetia A , Pinto D , Beltramello M , Hernandez P , Greaney AJ , Glass WG , Zhang I , Chodera JD , and 33 more authors
    Nature, 2021
    GitHub: https://github.com/choderalab/rbd-ab-contact-analysis
  5. Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed de novo design model
    Morris A , McCorkindale W , Consortium TCM , Drayman N , Chodera JD , Tay S , London N , Lee AA
    Journal of Computer-Aided Molecular Design, 2021
  6. Mutation in Abl kinase with altered drug binding kinetics indicates a novel mechanism of imatinib resistance
    Lyczek A , Berger BT , Rangwala AM , Paung Y , Tom J , Philipose H , Guo J , Albanese SK , Robers MB , Knapp S , Chodera JD , and 1 more author
    Proceedings of the National Academy of Science, 2021
    GitHub: https://github.com/choderalab/Abl_kinase_N368S
  7. Overview of the SAMPL6 pKa challenge: evaluating small molecule microscopic and macroscopic pKa predictions
    Işık M , Rustenburg AS , Rizzi A , Gunner MR , Mobley DL , Chodera JD
    Journal of Computer-Aided Molecular Design, 2021
    GitHub: https://github.com/samplchallenges/SAMPL6
  8. Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity
    Thomson EC , Rosen LE , Shepherd JG , Spreafico R , Silva Filipe A , Wojcechowskyj JA , Davis C , Piccoli L , Pascall DJ , Dillen J , Zhang I , Glass WG , Chodera JD , and 54 more authors
    Cell, 2021
  9. What Markov State Models can and cannot do: Correlation versus path-based observables in protein-folding models
    Suárez E , Wiewiora RP , Wehmeyer C , Noé F , Chodera JD , Zuckerman DM
    Journal of Chemical Theory and Computation, 2021
    GitHub: https://github.com/choderalab/msm-mfpt
  10. Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks
    Hahn DF , Bayly CI , Macdonald HEB , Chodera JD , Mey ASJS , Mobley DL , Benito LP , Schindler CEM , Tresadern G , Warren GL
    2021
    GitHub: https://github.com/openforcefield/FE-Benchmarks-Best-Practices
  11. A white-knuckle ride of open COVID drug discovery
    Delft F , Calmiano M , Chodera JD , Griffen E , Lee A , London N , Matviuk T , Perry B , Robinson M , Delft A
    Nature, 2021
  12. SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome
    Zimmerman MI , Porter JR , Ward MD , Singh S , Vithani N , Meller A , Mallimadugula UL , Kuhn CE , Borowsky JH , Wiewiora RP , Chodera JD , and 7 more authors
    Nature Chemistry, 2021

2020

  1. Development and benchmarking of Open Force Field v1.0.0, the Parsley small molecule force field
    Qiu Y , Smith D , Boothroyd S , Jang H , Wagner J , Bannan CC , Gokey T , Lim VT , Stern C , Rizzi A , Chodera JD , and 7 more authors
    2020
    GitHub: https://github.com/openforcefield/openff-forcefields
  2. Bayesian inference-driven model parameterization and model selection for 2CLJQ fluid models
    Madin OC , Boothroyd S , Messerly RA , Chodera JD , Fass J , Shirts MR
    2020
  3. End-to-end differentiable molecular mechanics force field construction
    2020
    GitHub: https://github.com/choderalab/espaloma
  4. Capturing non-local through-bond effects when fragmenting molecules for quantum chemical torsion scans
    Stern CD , Bayly CI , Smith DGA , Fass J , Wang L , Mobley DL , Chodera JD
    2020
    GitHub: https://github.com/openforcefield/fragmenter
  5. Best practices for alchemical free energy calculations
    Mey ASJS , Allen B , Macdonald HEB , Chodera JD , Kuhn M , Michel J , Mobley DL , Naden LN , Prasad S , Rizzi A , Scheen J , and 3 more authors
    2020
    GitHub: https://github.com/michellab/alchemical-best-practices
  6. Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials
    Rufa DA , Macdonald HEB , Fass J , Wieder M , Grinaway PA , Rotiberg AE , Isayev O , Chodera JD
    2020
    GitHub: https://github.com/choderalab/qmlify
  7. Is structure based drug design ready for selectivity optimization?
    Albanese SK , Chodera JD , Volkamer A , Keng S , Abel R , Wang L
    2020
    GitHub: https://github.com/choderalab/selectivity
  8. Crowdsourcing drug discovery for pandemics
    Chodera JD , Lee AA , London N , Delft F
    Nature Chemistry, 2020
  9. Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
    Gkeka P , Stoltz G , Farimani AB , Belkacemi Z , Ceriotti M , Chodera J , Dinner AR , Ferguson A , Maillet J , Minoux H , Silveira A , Wiewiora R , and 5 more authors
    2020
  10. Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge
    Işık M , Bergazin TD , Fox T , Rizzi A , Chodera JD , Mobley DL
    Journal of Computer Aided Molecular Design, 2020
    GitHub: https://github.com/samplchallenges/SAMPL6
  11. Standard state free energies, not pKas, are ideal for describing small molecule protonation and tautomeric states
    Gunner M , Murakami T , Rustenburg AS , Işık M , Chodera J
    Journal of Computer-Aided Molecular Design, 2020
    GitHub: https://github.com/choderalab/titrato
  12. The SAMPL6 SAMPLing challenge: Assessing the reliability and efficiency of binding free energy calculations
    Rizzi A , Jensen T , Slochower DR , Aldeghi M , Gapsys V , Ntekoumes D , Bosisio S , Papadourakis M , Hendriksen NM , Groot BL , Chodera JD , and 6 more authors
    Journal of Computer Aided Molecular Design, 2020
    GitHub: https://github.com/samplchallenges/SAMPL6/tree/master/host_guest/SAMPLing

2019

  1. Octanol-water partition coefficient measurements for the SAMPL6 blind prediction challenge
    Işık M , Levorse D , Mobley DL , Rhodes T , Chodera JD
    Journal of Computer Aided Molecular Design, 2019
  2. A small-molecule pan-Id antagonist inhibits pathologic ocular neovascularization
    Wojnarowicz PM , Silva RL , Ohanka M , Lee SB , Chin Y , Kulukian A , Chang S , Desai B , Escolano MG , Shah R , Albanese SK , Chodera JD , and 20 more authors
    Cell Reports, 2019
  3. Graph nets for partial charge prediction
    2019
    GitHub: http://github.com/choderalab/gimlet
  4. Sharing data from molecular simulations
    MJ A , R A , J B , P B , C B , AMJJ B , M C , JD C , K C , L D , and 11 more authors
    Journal of Chemical Information and Modeling ASAP, 2019
  5. Ancestral reconstruction reveals mechanisms of ERK regulatory evolution
    Sang D , Pinglay S , Wiewiora RP , Selvan ME , Lou HJ , Chodera JD , Turk BE , Gümüş ZH , Holt LJ
    eLife, 2019
    GitHub: https://github.com/choderalab/ERK-ancestral-materials
  6. Binding thermodynamics of host-guest systems with SMIRNOFF99Frosst 1.0.5 from the Open Force Field Initiative
    Slochower DR , Hendriksen NM , Wang L , Chodera JD , Mobley DL , Gilson MK
    Journal of Chemical Theory and Computation, 2019
    GitHub: https://slochower.github.io/smirnoff-host-guest-manuscript/#code-and-data-availability
  7. Small-molecule targeting of MUSASHI RNA-binding activity in acute myeloid leukemia
    Minuesa G , Albanese SK , Chow A , Schurer A , Park S , Rotsides CZ , Taggart J , Rizzi A , Naden LN , Chou T , Chodera JD , and 15 more authors
    Nature Communications, 2019
    GitHub: https://github.com/choderalab/musashi
  8. The dynamic conformational landscapes of the protein methyltransferase SETD8
    Wiewiora RP , Chen S , Meng F , Babault N , Ma A , Yu W , Qian K , Hu H , Zou H , Wang J , Beauchamp KA , Chodera JD , and 12 more authors
    eLife, 2019
    GitHub: https://github.com/choderalab/SETD8-materials
  9. What makes a kinase promiscuous for inhibitors?
    Hanson SM , Georghiou G , Thakur MK , Miller WT , Rest JS , Chodera JD , Seeliger MA
    Cell Chemical Biology, 2019
    GitHub: https://github.com/choderalab/DDR1_and_kinase_promiscuity_materials

2018

  1. OpenPathSampling: A Python framework for path sampling simulations. II. Building and customizing path ensembles and sample schemes
    Swenson DW , Prinz J , Noé F , Chodera JD , Bolhuis PG
    Journal of Chemical Theory and Computation, 2018
    GitHub: https://github.com/openpathsampling/openpathsampling
  2. Toward learned chemical perception of force field typing rules
    Zanette C , Bannan CC , Bayly CI , Fass J , Gilson MK , Shirts MR , Chodera J , Mobley DL
    Journal of Chemical Theory and Computation, 2018
    GitHub: https://github.com/openforcefield/smarty
  3. Overview of the SAMPL6 host-guest binding affinity prediction challenge
    Rizzi A , Murkli S , McNeill JN , Yao W , Sullivan M , Gilson MK , Chiu MW , Mobley DL , Isaacs L , Gibb BC , Chodera JD , and 1 more author
    Journal of Computer-Aided Molecular Design special issue on SAMPL6, 2018
  4. An open library of human kinase domain constructs for automated bacterial expression
    Albanese SK , Parton DL , Isik M , Rodríguez-Laureano L , Hanson SM , Behr JM , Gradia S , Jeans C , Levinson NM , Seeliger MA , Chodera JD
    Biochemistry, 2018
  5. pKa measurements for the SAMPL6 prediction challenge for a set of kinase inhibitor-like fragments
    Işık M , Levorse D , Rustenburg AS , Ndukwe IE , Wang H , Behr JM , Reibarkh M , Martin GE , Makarov AA , Mobley DL , Chodera JD , and 1 more author
    Journal of Computer-Aided Molecular Design special issue on SAMPL6, 2018
  6. Acquired resistance to IDH inhibition through trans or cis dimer-interface mutations
    Intlekofer AM , Shih AH , Wang B , Nazir A , Rustenburg AS , Albanese SK , Patel M , Famulare C , Correa FM , Takemoto N , Chodera JD , and 17 more authors
    Nature, 2018
  7. Predicting resistance of clinical Abl mutations to targeted kinase inhibitors using alchemical free-energy calculations
    Hauser K , Negron C , Albanese SK , Ray S , Steinbrecher T , Abel R , Chodera JD , Wang L
    Communications Biology, 2018
  8. Bayesian analysis of isothermal titration calorimetry for binding thermodynamics
    Nguyen TH , Rustenburg AS , Krimmer SG , Zhang H , Clark JD , Novick PA , Branson K , Pande VS , Chodera JD , Minh DDL
    PLoS One, 2018
  9. Quantifying configuration-sampling error in Langevin simulations of complex molecular systems
    Fass J , Sivak D , Crooks GE , Beauchamp KA , Leimkuhler B , Chodera JD
    entropy, 2018
  10. Escaping atom types in force fields using direct chemical perception
    Mobley DL , Bannan CC , Rizzi A , Bayly CI , Chodera JD , Lim VT , Lim NM , Beauchamp KA , Shirts MR , Gilson MK , and 1 more author
    Journal of Chemical Theory and Computation, 2018
  11. A dynamic mechanism for allosteric activation of Aurora kinase A by activation loop phosphorylation
    Ruff EF , Muretta JM , Thompson A , Lake EW , Cyphers S , Albanese SK , Hanson SM , Behr JM , Thomas DD , Chodera JD , and 1 more author
    eLife, 2018
  12. Quantitative self-assembly prediction yields targeted nanomedicines
    Shamay Y , Shah J , Işık M , Mizrachi A , Leibold J , Tschaharganeh DF , Roxbury D , Budhathoki-Uprety J , Nawaly K , Sugarman JL , Chodera JD , and 10 more authors
    Nature Materials, 2018
  13. Biomolecular simulations under realistic macroscopic salt conditions
    Ross GA , Rustenburg AS , Grinaway PB , Fass J , Chodera JD
    Journal of Physical Chemistry B, 2018
  14. Binding Modes of Ligands Using Enhanced Sampling (BLUES): Rapid Decorrelation of Ligand Binding Modes Using Nonequilibrium Candidate Monte Carlo
    Gill S , Lim NM , Grinaway PB , Rustenburg AS , Fass J , Ross G , Chodera JD , Mobley D
    Journal of Physical Chemistry B, 2018
  15. Ensemble docking in drug discovery
    Amaro RE , Baudry J , Chodera JD , Demir Ö , McCammon JA , Miao Y , Smith JC
    Biophysical Journal, 2018

2017

  1. OpenMM 7: Rapid Development of High Performance Algorithms for Molecular Dynamics
    Eastman P , Swails J , Chodera JD , McGibbon RT , Zhao Y , Beauchamp KA , Wang L , Simmonett AC , Harrigan MP , Stern CD , Wiewiora RP , and 2 more authors
    PLoS Computational Biology, 2017
  2. Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the FreeSolv database
    Matos GDR , Kyu DY , Loeffler HH , Chodera JD , Shirts MR , Mobley D
    Journal of Chemical Engineering Data, 2017
  3. L-2-Hydroxyglutarate production arises from noncanonical enzyme function at acidic pH
    A I , B W , H L , H S , C C , AS R , S S , MR G , JD C , JR C , and 1 more author
    Nature Chemical Biology, 2017
  4. A water-mediated allosteric network governs activation of Aurora kinase A
    S C , E R , JM B , JD C , NM L
    Nature Chemical Biology, 2017
  5. Results of the 2017 Roadmap survey of the Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) challenge community
    Mobley DL , Chodera JD , Gilson MK
    UC Irvine escholarship.org, 2017

2016

  1. Mechanistically distinct cancer-associated mTOR activation clusters predict sensitivity to rapamycin
    Jianing X , CG P , SK A , Yiyu D , T O , CH L , V R , Z Y , S H , D C , and 5 more authors
    Journal of Clinical Investigation, 2016
  2. Measuring experimental cyclohexane-water distribution coefficients for the SAMPL5 challenge
    Rustenburg AS , Dancer J , Lin B , Feng JA , Ortwine DF , Mobley DL , Chodera JD
    Journal of Computer-Aided Molecular Design, 2016
  3. Ensembler: Enabling high-throughput molecular simulations at the superfamily scale
    PLoS Computational Biology, 2016
  4. A simple method for automated equilibration detection in molecular simulations
    Journal of Chemical Theory and Computation, 2016

2015

  1. Modeling error in experimental assays using the bootstrap principle: Understanding discrepancies between assays using different dispensing technologies
    Hanson SM , Ekins S , Chodera JD
    Journal of Computer Aided Molecular Design, 2015
  2. Avoiding accuracy-limiting pitfalls in the study of protein-ligand interactions with isothermal titration calorimetry
    Boyce SE , Tellinghuisen J , Chodera JD
    Manuscript prior to submission, 2015
  3. Hypoxia induces production of L-2-hydroxyglutarate
    Intlekofer AM , Dematteo RG , Venneti S , Finley LW , Lu C , Judkins AR , Rustenburg AS , Grinaway PB , Chodera JD , Cross JR , Chodera JD , and 1 more author
    Cell Metabolism, 2015
  4. Towards Automated Benchmarking of Atomistic Forcefields: Neat Liquid Densities and Static Dielectric Constants from the ThermoML Data Archive
    Beauchamp KA , Behr JM , Rustenburg AS , Bayly CI , Kroenlein K , Chodera JD
    Journal of Physical Chemistry B, 2015

2014

  1. Markov state models of biomolecular conformational dynamics
    Chodera JD , Noé F
    Current Opinion in Structural Biology, 2014
  2. Spectral rate theory for two-state kinetics
    Prinz J , Chodera JD , Noé F
    Physical Review X, 2014
  3. Time step rescaling recovers continuous-time dynamical properties for discrete-time Langevin integration of nonequilibrium systems
    Sivak DA , Chodera JD , Crooks GE
    Journal of Physical Chemistry B, 2014
  4. Uncertainty Estimation
    Noé F , Chodera JD
    2014
  5. Estimation and validation of Markov models
    Prinz J , Noé F , Chodera JD
    2014

2013

  1. Identifying ligand binding sites and poses using GPU-accelerated Hamiltonian replica exchange molecular dynamics
    K KW , Chodera JD , Yang Y , Shirts MR
    Journal of Computer-Aided Molecular Design, 2013
  2. Systematic improvement of a classical molecular model of water
    Wang L , Head-Gordon TL , Ponder JW , Ren P , Chodera JD , Eastman PK , Martinez TJ , Pande VS
    Journal of Physical Chemistry B, 2013
  3. Entropy-enthalpy compensation: Role and ramifications for rational ligand design
    Chodera JD , Mobley DL
    Annual Review of Biophysics, 2013
  4. Using nonequilibrium fluctuation theorems to understand and correct errors in equilibrium and nonequilibrium discrete Langevin dynamics simulations
    Sivak DA , Chodera JD , Crooks GE
    Physical Review X, 2013

2012

  1. OpenMM 4: A reusable, extensible, hardware independent library for high performance molecular simulation
    Eastman P , Friedrichs MS , Chodera JD , Radmer RJ , Bruns CM , Ku JP , Beauchamp KA , Lane TJ , Wang L , Shukla D , and 6 more authors
    Journal of Chemical Theory and Computation, 2012
  2. The limitations of constant-force-feedback experiments
    Elms PJ , Chodera JD , Bustamante CJ , Marqusee S
    National Academy of Sciences, 2012
  3. On the use of experimental observations to bias simulated ensembles
    Pitera JW , Chodera JD
    Journal of Chemical Theory and Computation, 2012
  4. The molten globule state is unusually deformable under mechanical force
    Elms PJ , Chodera JD , Bustamante C , Marqusee S
    Proceedings of the National Academy of Sciences USA, 2012

2011

  1. Replica exchange and expanded ensemble simulations as Gibbs sampling: Simple improvements for enhanced mixing
    Chodera JD , Shirts MR
    Journal of Chemical Physics, 2011
  2. The ribosome modulates nascent protein folding
    Kaiser CM , Goldman DH , Chodera JD , Jr. IT , Bustamante C
    Science, 2011
  3. Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation
    Nilmeier JP , Crooks GE , Minh DDL , Chodera JD
    Proceedings of the National Academy of Sciences USA, 2011
  4. Splitting probabilities as a test of reaction coordinate choice in single-molecule experiments
    Chodera JD , Pande VS
    Physical Review Letters, 2011
  5. A robust approach to estimating rates from time-correlation functions
    Chodera JD , Elms PJ , Swope WC , Prinz J , Marqusee S , Bustamante C , Noé F , Pande VS
    Preprint ahead of submission, 2011
  6. The Social Network (of protein conformations)
    Chodera JD , Pande VS
    Proceedings of the National Academy of Sciences USA, 2011
  7. Bayesian hidden Markov model analysis of single-molecule force spectroscopy: Characterizing kinetics under measurement uncertainty
    Chodera JD , Elms P , Noé F , Keller B , Kaiser CM , Ewall-Wice A , Marqusee S , Bustamante C , Hinrichs NS
    preprint, 2011
  8. Systematic errors in isothermal titration calorimetry: Concentrations and baselines
    Tellinghuisen JT , Chodera JD
    Analytical Biochemistry, 2011
  9. Dynamical reweighting: Improved estimates for dynamical properties from simulations at multiple temperatures
    Chodera JD , Swope WC , Noé F , Prinz J , Shirts MR , Pande VS
    Journal of Chemical Physics, 2011
  10. Optimal use of data in parallel tempering simulations for the construction of discrete-state Markov models of biomolecular dynamics
    Prinz J , Chodera JD , Pande VS , Smith JC , Noé F
    Journal of Chemical Physics, 2011
  11. Markov models of molecular kinetics: Generation and validation
    Prinz J , Wu H , Sarich M , Keller B , Fischbach M , Held M , Chodera JD , Schüttle C , Noé F
    Journal of Chemical Physics, 2011
  12. Free energy methods in drug discovery and design: Progress and challenges
    Chodera JD , Mobley DL , Shirts MR , Dixon RW , Branson KM , Pande VS
    Current Opinion in Structural Biology, 2011
  13. Dynamical fingerprints: A theoretical framework for understanding biomolecular processes by combination of simulation and kinetic experiments
    Noé F , Doose S , Daidone I , Löllmann M , Sauer M , Chodera JD , Smith JC
    Proceedings of the National Academy of Sciences USA, 2011
  14. Estimating equilibrium ensemble averages using multiple time slices from driven nonequilibrium processes
    Minh DDL , Chodera JD
    Journal of Chemical Physics, 2011
  15. Driven Langevin dynamics: heat, work and pseudo-work
    Sivak DA , Chodera JD , Crooks GE
    2011
  16. Alchemical free energy methods for drug discovery: progress and challenges
    Chodera JD , Mobley DL , Shirts MR , Dixon RW , Branson K , Pande VS
    Current Opinion in Structural Biology, 2011

2010

  1. Probability distributions of molecular observables computed from Markov models. II. Uncertainties in observables and their time-evolution
    Noé F , Chodera JD
    Journal of Chemical Physics, 2010
  2. The mechanical properties of PCNA: Implications for the loading and function of a DNA sliding clamp
    Adelman JL , Chodera JD , Kuo IW , III TFM , Barsky D
    Biophysical Journal, 2010
  3. Current status of the AMOEBA polarizable force field
    Ponder JW , Wu C , Ren P , Pande VS , Chodera JD , Adelman JL , Chodera JD , Mobley DL , Schnieders MJ , Haque I , and 6 more authors
    Journal of Physical Chemistry B, 2010

2009

  1. Optimal estimators and asymptotic variances for nonequilibrium path-ensemble averages
    Minh DDDL , Chodera JD
    Journal of Chemical Physics, 2009
  2. Bayesian comparison of Markov models of molecular dynamics with detailed balance constraint
    Bacallado S , Chodera JD , Pande VS
    Journal of Chemical Physics, 2009

2008

  1. Statistically optimal analysis of samples from multiple equilibrium states
    Shirts MR , Chodera JD
    Journal of Chemical Physics, 2008
  2. Technical Report: Self-consistent definition and computation of the electrostatic field for the Amber and related forcefields with particle-mesh Ewald
    Technical Report, 2008
  3. Predicting small-molecule solvation free energies: A blind challenge test for computational chemistry
    Nicholls A , Mobley DL , Guthrie JP , Chodera JD , Pande VS
    Journal of Medicinal Chemistry, 2008
  4. Treating entropy and conformational changes in implicit solvent simulations of small molecules
    Mobley DL , Chodera JD , Dill KA
    Journal of Physical Chemistry B, 2008

2007

  1. Accurate and efficient corrections for missing dispersion interactions in molecular simulations
    Shirts MR , Mobley DL , Chodera JD , Pande VS
    Journal of Physical Chemistry B, 2007
  2. Alchemical free energy calculations: Ready for prime time?
    Shirts MR , Mobley DL , Chodera JD
    Annual Reports in Computational Chemistry, 2007
  3. Predicting absolute ligand binding free energies to a simple model site
    Mobley DL , Graves AP , Chodera JD , McReynolds AC , Shoichet BK , Dill KA
    Journal of Molecular Biology, 2007
  4. The protein folding problem: When will it be solved?
    Dill KA , Ozkan SB , Weikl TR , Chodera JD , Voelz VA
    Current Opinion in Structural Biology, 2007
  5. Confine-and-release method: Obtaining correct binding free energies in the presence of protein conformational change
    Mobley DL , Chodera JD , Dill KA
    Journal of Chemical Theory and Computation, 2007
  6. Protein Folding by Zipping and Assembly
    Ozkan SB , Wu GA , Chodera JD , Dill KA
    Proceedings of the National Academy of Sciences USA, 2007
  7. Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics
    Chodera JD , Singhal N , Swope WC , Pitera JW , Pande VS , Dill KA
    Jouyrnal of Chemical Physics, 2007
  8. Comparison of charge models for fixed-charge force fields: Small-molecule hydration free energies in explicit solvent
    Mobley DL , Dumont É , Chodera JD , Bayly CI , Cooper MD , Dill KA
    Journal of Physical Chemistry B, 2007
  9. Use of the weighted histogram analysis method for the analysis of simulated and parallel tempering simulations
    Chodera JD , Swope WC , Pitera JW , Seok C , Dill KA
    Journal of Chemical Theory and Computation, 2007

2006

  1. Long-time protein folding dynamics from short-time molecular dynamics simulations
    Chodera JD , Swope WC , Pitera JW , Dill KA
    Multiscale Modeling & Simulation, 2006
  2. On the use of orientational restraints and symmetry corrections in alchemical free energy calculations
    Mobley DL , Chodera JD , Dill KA
    Journal of Chemical Physics, 2006
  3. Master equation models of macromolecular dynamics from atomistic simulation
    UCSF Dissertation, 2006

2004

  1. Technical report: An integrated system for executing and analyzing large-scale molecular dynamics simulations
    Chodera JD , Eramian DE , Schweitzer L , Dill KA
    UCSF, 2004
  2. Constructing master equation models of protein folding and dynamics from atomistic simulation
    Chodera J , Dill K , Swope W , Pitera J
    Protein Science, 2004

2002

  1. MOPED: Method for optimizing physical energy parameters using decoys
    Seok C , Rosen JB , Chodera JD , Dill KA
    Journal of Computational Chemistry, 2002

2001

  1. An alternative explanation for the catalytic proficiency of orotidine 5’-phosphate decarboxylase
    Lee T , Chong LT , Chodera JD , Kollman PA
    Journal of the American Chemical Society, 2001

  1. Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting
    Outhwaite IR , Singh S , Berger B , Knapp S , Chodera JD , Seeliger MA