Projects: pypi: pymbar

https://packages.ecosyste.ms/registries/pypi.org/packages/pymbar

Python implementation of the multistate Bennett acceptance ratio (MBAR) method
13 versions
Latest release: over 2 years ago
6 dependent packages
2,022 downloads last month

Enhanced Analysis
Educational Contributors: lnaden@vt.edu michael.shirts@virginia.edu tburgin@umich.edu schuh.marc@students.boku.ac.at jbarnet4@tulane.edu chrisjones4@u.boisestate.edu
Repository Activity:
Repository Owner: Chodera lab // Memorial Sloan Kettering Cancer Center (organization) Academic
README Analysis: DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +120 Educational commit emails
    6 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +24 Science terms in README
    12 scientific terms found in README
  • +20 DOI references
    2 DOI references found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (100)

Papers Mentioning pymbar 12

10.1039/d1sc01185e
Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution
Cited by: 12
Author(s): Marcus Wieder, Josh Fass, John D. Chodera
Software Mentions: 4
Published: about 5 years ago
10.1002/jcc.26035
Force‐field parametrization based on radial and energy distribution functions
Cited by: 1
Author(s): Shuntaro Chiba, Yasushi Okuno, Teruki Honma, Mitsunori Ikeguchi
Software Mentions: 3
Published: over 6 years ago
10.3389/fmolb.2021.712085
Recent Developments in Free Energy Calculations for Drug Discovery
Cited by: 39
Author(s): Edward J. King, Erick Aitchison, Han Li, Ray Luo
Software Mentions: 2
Published: over 4 years ago
10.1016/j.cell.2021.01.034
Antidepressant drugs act by directly binding to TRKB neurotrophin receptors
Cited by: 275
Author(s): Plínio Casarotto, Mykhailo Girych, Senem Merve Fred, Vera Kovaleva, Rafael Moliner, Giray Enkavi, Caroline Biojone, Cecilia Cannarozzo, Madhusmita Priyadarshini Sahu, Katja Kaurinkoski, Cecilia A. Brunello, Anna Steinzeig, Frederike Winkel, Sudarshan Patil, Stefan Vestring, Tsvetan Serchov, Cassiano Ricardo Alves Faria Diniz, Liina Laukkanen, Iseline Cardon, Hanna Antila, Tomasz Róg, Petteri Piepponen, Clive R. Bramham, Claus Normann, Sari E. Lauri, Märt Saarma, Ilpo Vattulainen, Eero Ċastrén
Software Mentions: 2
Published: about 5 years ago
10.1039/c5sc02678d
Accurate calculation of the absolute free energy of binding for drug molecules
Cited by: 229
Author(s): Matteo Aldeghi, Alexander Heifetz, Michael J. Bodkin, S. Knapp, Philip C. Biggin
Software Mentions: 2
Published: about 10 years ago
10.1038/s41598-018-23778-5
On the contributing role of the transmembrane domain for subunit-specific sensitivity of integrin activation
Cited by: 17
Author(s): Giulia Pagani, Holger Gohlke
Software Mentions: 1
Published: almost 8 years ago
10.1371/journal.pone.0113119
Calculation and Visualization of Atomistic Mechanical Stresses in Nanomaterials and Biomolecules
Cited by: 13
Author(s): Andrew T. Fenley, Hari S. Muddana, Michael K. Gilson
Software Mentions: 1
Published: about 11 years ago
10.1021/acs.jpca.1c03454
Complex Reaction Network Thermodynamic and Kinetic Autoconstruction Based on <i>Ab Initio</i> Statistical Mechanics: A Case Study of O<sub>2</sub> Activation on Ag<sub>4</sub> Clusters
Cited by: 3
Author(s): Weiqi Wang, Xiangyue Liu, Jesús Pérez‐Ríos
Software Mentions: 1
Published: over 4 years ago
10.3389/fmolb.2021.661322
Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca2+-Calmodulin.
Cited by: 3
Author(s): Jules Nde, Pengzhi Zhang, Jacob C. Ezerski, Wei Lu, Kaitlin Knapp, Peter G. Wolynes, Margaret S. Cheung
Software Mentions: 1
Published: about 5 years ago
10.1007/s10822-017-0056-z
Binding affinities of the farnesoid X receptor in the D3R Grand Challenge 2 estimated by free-energy perturbation and docking
Cited by: 9
Author(s): Martin Olsson, Alfonso T. García-Sosa, Ulf Ryde
Software Mentions: 1
Published: over 8 years ago
10.1007/s10822-016-9969-1
Blinded predictions of distribution coefficients in the SAMPL5 challenge
Cited by: 13
Author(s): Stefano Bosisio, Antonia S. J. S. Mey, Julien Michel
Software Mentions: 1
Published: over 9 years ago
10.1007/s10822-017-0083-9
Impact of domain knowledge on blinded predictions of binding energies by alchemical free energy calculations
Cited by: 18
Author(s): Antonia S. J. S. Mey, Jordi Jiménez, Julien Michel
Software Mentions: 1
Published: over 8 years ago