Literature DB >> 17266298

Analysis of ligand-bound water molecules in high-resolution crystal structures of protein-ligand complexes.

Yipin Lu1, Renxiao Wang, Chao-Yie Yang, Shaomeng Wang.   

Abstract

We have performed a comprehensive analysis of water molecules at the protein-ligand interfaces observed in 392 high-resolution crystal structures. There are a total of 1829 ligand-bound water molecules in these 392 complexes; 18% are surface water molecules, and 72% are interfacial water molecules. The number of ligand-bound water molecules in each complex structure ranges from 0 to 21 and has an average of 4.6. Of these interfacial water molecules, 76% are considered to be bridging water molecules, characterized by having polar interactions with both ligand and protein atoms. Among a number of factors that may influence the number of ligand-bound water molecules, the polar van der Waals (vdw) surface area of ligands has the highest Pearson linear correlation coefficient of 0.63. Our regression analysis predicted that one more ligand-bound water molecule is expected for every additional 24 A2 in the polar vdw surface area of the ligand. In contrast to the observation that the resolution is the primary factor influencing the number of water molecules in crystallographic models of proteins, we found that there is only a weak relationship between the number of ligand-bound water molecules and the resolution of the crystal structures. An analysis of the isotropic B factors of buried ligand-bound water molecules suggested that, when water molecules have fewer than two polar interactions with the protein-ligand complex, they are more mobile than protein atoms in the crystal structures; when they have more than three polar interactions, they are significantly less mobile than protein atoms.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17266298     DOI: 10.1021/ci6003527

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  33 in total

1.  A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

Authors:  Stefano Forli; Arthur J Olson
Journal:  J Med Chem       Date:  2012-01-13       Impact factor: 7.446

2.  Improving protein-ligand docking with flexible interfacial water molecules using SWRosettaLigand.

Authors:  Linqing Li; Weiwei Xu; Qiang Lü
Journal:  J Mol Model       Date:  2015-10-30       Impact factor: 1.810

3.  Conserved water molecules stabilize the Omega-loop in class A beta-lactamases.

Authors:  Fabian Bös; Jürgen Pleiss
Journal:  Antimicrob Agents Chemother       Date:  2008-01-14       Impact factor: 5.191

4.  Minimizing frustration by folding in an aqueous environment.

Authors:  Carla Mattos; A Clay Clark
Journal:  Arch Biochem Biophys       Date:  2007-07-14       Impact factor: 4.013

5.  Rapid estimation of hydration thermodynamics of macromolecular regions.

Authors:  E Prabhu Raman; Alexander D MacKerell
Journal:  J Chem Phys       Date:  2013-08-07       Impact factor: 3.488

6.  Systematic placement of structural water molecules for improved scoring of protein-ligand interactions.

Authors:  David J Huggins; Bruce Tidor
Journal:  Protein Eng Des Sel       Date:  2011-07-19       Impact factor: 1.650

7.  Accommodating a nonconservative internal mutation by water-mediated hydrogen bonding between β-sheet strands: a comparison of human and rat type B (mitochondrial) cytochrome b5.

Authors:  Sudharsan Parthasarathy; Adriana Altuve; Simon Terzyan; Xuejun Zhang; Krzysztof Kuczera; Mario Rivera; David R Benson
Journal:  Biochemistry       Date:  2011-05-26       Impact factor: 3.162

8.  Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions.

Authors:  Jianing Lu; Xuben Hou; Cheng Wang; Yingkai Zhang
Journal:  J Chem Inf Model       Date:  2019-10-31       Impact factor: 4.956

9.  Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization.

Authors:  Julien Michel; Julian Tirado-Rives; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2009-10-28       Impact factor: 15.419

10.  Prediction of potency of protease inhibitors using free energy simulations with polarizable quantum mechanics-based ligand charges and a hybrid water model.

Authors:  Debananda Das; Yasuhiro Koh; Yasushi Tojo; Arun K Ghosh; Hiroaki Mitsuya
Journal:  J Chem Inf Model       Date:  2009-12       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.