Literature DB >> 33719449

DeepBAR: A Fast and Exact Method for Binding Free Energy Computation.

Xinqiang Ding1, Bin Zhang1.   

Abstract

The fast and accurate calculation of standard binding free energy has many important applications. Existing methodologies struggle at balancing accuracy and efficiency. We introduce a new method to compute binding free energy using deep generative models and the Bennett acceptance ratio method (DeepBAR). Compared to the rigorous potential of mean force (PMF) approach that requires sampling from intermediate states, DeepBAR is an order-of-magnitude more efficient as demonstrated in a series of host-guest systems. Notably, DeepBAR is exact and does not suffer from approximations for entropic contributions used in methods such as the molecular mechanics energy combined with the generalized Born and surface area continuum solvation (MM/GBSA). We anticipate DeepBAR to be a valuable tool for computing standard binding free energy used in drug design.

Entities:  

Year:  2021        PMID: 33719449      PMCID: PMC8030779          DOI: 10.1021/acs.jpclett.1c00189

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  21 in total

1.  Insights into protein-protein binding by binding free energy calculation and free energy decomposition for the Ras-Raf and Ras-RalGDS complexes.

Authors:  Holger Gohlke; Christina Kiel; David A Case
Journal:  J Mol Biol       Date:  2003-07-18       Impact factor: 5.469

2.  MMPBSA.py: An Efficient Program for End-State Free Energy Calculations.

Authors:  Bill R Miller; T Dwight McGee; Jason M Swails; Nadine Homeyer; Holger Gohlke; Adrian E Roitberg
Journal:  J Chem Theory Comput       Date:  2012-08-16       Impact factor: 6.006

3.  Self-Assembly of Mesoscale Objects into Ordered Two-Dimensional Arrays

Authors: 
Journal:  Science       Date:  1997-04-11       Impact factor: 47.728

4.  Computing Absolute Free Energy with Deep Generative Models.

Authors:  Xinqiang Ding; Bin Zhang
Journal:  J Phys Chem B       Date:  2020-11-03       Impact factor: 2.991

5.  The cucurbit[n]uril family: prime components for self-sorting systems.

Authors:  Simin Liu; Christian Ruspic; Pritam Mukhopadhyay; Sriparna Chakrabarti; Peter Y Zavalij; Lyle Isaacs
Journal:  J Am Chem Soc       Date:  2005-11-16       Impact factor: 15.419

Review 6.  Computational methods to predict binding free energy in ligand-receptor complexes.

Authors:  M A Murcko
Journal:  J Med Chem       Date:  1995-12-22       Impact factor: 7.446

7.  A synthetic host-guest system achieves avidin-biotin affinity by overcoming enthalpy-entropy compensation.

Authors:  Mikhail V Rekharsky; Tadashi Mori; Cheng Yang; Young Ho Ko; N Selvapalam; Hyunuk Kim; David Sobransingh; Angel E Kaifer; Simin Liu; Lyle Isaacs; Wei Chen; Sarvin Moghaddam; Michael K Gilson; Kimoon Kim; Yoshihisa Inoue
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

8.  Host-guest complexes with protein-ligand-like affinities: computational analysis and design.

Authors:  Sarvin Moghaddam; Yoshihisa Inoue; Michael K Gilson
Journal:  J Am Chem Soc       Date:  2009-03-25       Impact factor: 15.419

9.  Exploring protein native states and large-scale conformational changes with a modified generalized born model.

Authors:  Alexey Onufriev; Donald Bashford; David A Case
Journal:  Proteins       Date:  2004-05-01

Review 10.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.

Authors:  Samuel Genheden; Ulf Ryde
Journal:  Expert Opin Drug Discov       Date:  2015-04-02       Impact factor: 6.098

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  4 in total

Review 1.  Unifying coarse-grained force fields for folded and disordered proteins.

Authors:  Andrew P Latham; Bin Zhang
Journal:  Curr Opin Struct Biol       Date:  2021-09-15       Impact factor: 7.786

Review 2.  Deep learning tools for advancing drug discovery and development.

Authors:  Sagorika Nag; Anurag T K Baidya; Abhimanyu Mandal; Alen T Mathew; Bhanuranjan Das; Bharti Devi; Rajnish Kumar
Journal:  3 Biotech       Date:  2022-04-09       Impact factor: 2.893

3.  Autoimmune diseases - New insights into a troublesome field.

Authors:  Thomas Lung; Benjamin Sakem; Andreas Hemmerle; Michèle Nydegger; Martin Risch; Lorenz Risch; Urs Nydegger
Journal:  J Transl Autoimmun       Date:  2021-06-01

4.  Machine Learning and Radiomic Features to Predict Overall Survival Time for Glioblastoma Patients.

Authors:  Lina Chato; Shahram Latifi
Journal:  J Pers Med       Date:  2021-12-09
  4 in total

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