Literature DB >> 22238219

Prediction of protein-protein binding free energies.

Thom Vreven1, Howook Hwang, Brian G Pierce, Zhiping Weng.   

Abstract

We present an energy function for predicting binding free energies of protein-protein complexes, using the three-dimensional structures of the complex and unbound proteins as input. Our function is a linear combination of nine terms and achieves a correlation coefficient of 0.63 with experimental measurements when tested on a benchmark of 144 complexes using leave-one-out cross validation. Although we systematically tested both atomic and residue-based scoring functions, the selected function is dominated by residue-based terms. Our function is stable for subsets of the benchmark stratified by experimental pH and extent of conformational change upon complex formation, with correlation coefficients ranging from 0.61 to 0.66.
Copyright © 2012 The Protein Society.

Mesh:

Substances:

Year:  2012        PMID: 22238219      PMCID: PMC3375440          DOI: 10.1002/pro.2027

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  36 in total

1.  Calculation of standard atomic volumes for RNA and comparison with proteins: RNA is packed more tightly.

Authors:  N R Voss; M Gerstein
Journal:  J Mol Biol       Date:  2005-01-05       Impact factor: 5.469

2.  Optimal design of protein docking potentials: efficiency and limitations.

Authors:  Dror Tobi; Ivet Bahar
Journal:  Proteins       Date:  2006-03-01

3.  Electrostatic properties of protein-protein complexes.

Authors:  Petras J Kundrotas; Emil Alexov
Journal:  Biophys J       Date:  2006-06-16       Impact factor: 4.033

4.  ZRANK: reranking protein docking predictions with an optimized energy function.

Authors:  Brian Pierce; Zhiping Weng
Journal:  Proteins       Date:  2007-06-01

5.  pyDock: electrostatics and desolvation for effective scoring of rigid-body protein-protein docking.

Authors:  Tammy Man-Kuang Cheng; Tom L Blundell; Juan Fernandez-Recio
Journal:  Proteins       Date:  2007-08-01

6.  Integrating statistical pair potentials into protein complex prediction.

Authors:  Julian Mintseris; Brian Pierce; Kevin Wiehe; Robert Anderson; Rong Chen; Zhiping Weng
Journal:  Proteins       Date:  2007-11-15

7.  A novel empirical free energy function that explains and predicts protein-protein binding affinities.

Authors:  Joseph Audie; Suzanne Scarlata
Journal:  Biophys Chem       Date:  2007-06-07       Impact factor: 2.352

Review 8.  Protein binding versus protein folding: the role of hydrophilic bridges in protein associations.

Authors:  D Xu; S L Lin; R Nussinov
Journal:  J Mol Biol       Date:  1997-01-10       Impact factor: 5.469

9.  SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions.

Authors:  R A Laskowski
Journal:  J Mol Graph       Date:  1995-10

Review 10.  Intrinsically unstructured proteins and their functions.

Authors:  H Jane Dyson; Peter E Wright
Journal:  Nat Rev Mol Cell Biol       Date:  2005-03       Impact factor: 94.444

View more
  29 in total

1.  Performance of ZDOCK in CAPRI rounds 20-26.

Authors:  Thom Vreven; Brian G Pierce; Howook Hwang; Zhiping Weng
Journal:  Proteins       Date:  2013-12

2.  Minimalistic predictor of protein binding energy: contribution of solvation factor to protein binding.

Authors:  Jeong-Mo Choi; Adrian W R Serohijos; Sean Murphy; Dennis Lucarelli; Leo L Lofranco; Andrew Feldman; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2015-02-17       Impact factor: 4.033

Review 3.  Low-resolution structural modeling of protein interactome.

Authors:  Ilya A Vakser
Journal:  Curr Opin Struct Biol       Date:  2013-01-05       Impact factor: 6.809

4.  A flexible docking approach for prediction of T cell receptor-peptide-MHC complexes.

Authors:  Brian G Pierce; Zhiping Weng
Journal:  Protein Sci       Date:  2013-01       Impact factor: 6.725

Review 5.  Advantages of proteins being disordered.

Authors:  Zhirong Liu; Yongqi Huang
Journal:  Protein Sci       Date:  2014-03-17       Impact factor: 6.725

6.  A minimal model of protein-protein binding affinities.

Authors:  Joël Janin
Journal:  Protein Sci       Date:  2014-10-25       Impact factor: 6.725

7.  A generalized framework for computational design and mutational scanning of T-cell receptor binding interfaces.

Authors:  Timothy P Riley; Cory M Ayres; Lance M Hellman; Nishant K Singh; Michael Cosiano; Jennifer M Cimons; Michael J Anderson; Kurt H Piepenbrink; Brian G Pierce; Zhiping Weng; Brian M Baker
Journal:  Protein Eng Des Sel       Date:  2016-09-13       Impact factor: 1.650

8.  Performance of ZDOCK and IRAD in CAPRI rounds 39-45.

Authors:  Thom Vreven; Sweta Vangaveti; Tyler M Borrman; Jennifer C Gaines; Zhiping Weng
Journal:  Proteins       Date:  2020-02-08

9.  Using the concept of transient complex for affinity predictions in CAPRI rounds 20-27 and beyond.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Proteins       Date:  2013-09-14

10.  Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Authors:  Thom Vreven; Iain H Moal; Anna Vangone; Brian G Pierce; Panagiotis L Kastritis; Mieczyslaw Torchala; Raphael Chaleil; Brian Jiménez-García; Paul A Bates; Juan Fernandez-Recio; Alexandre M J J Bonvin; Zhiping Weng
Journal:  J Mol Biol       Date:  2015-07-29       Impact factor: 5.469

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.