Literature DB >> 23192355

A solvated ligand rotamer approach and its application in computational protein design.

Xiaoqiang Huang1, Ji Yang, Yushan Zhu.   

Abstract

The structure-based design of protein-ligand interfaces with respect to different small molecules is of great significance in the discovery of functional proteins. By statistical analysis of a set of protein-ligand complex structures, it was determined that water-mediated hydrogen bonding at the protein-ligand interface plays a crucial role in governing the binding between the protein and the ligand. Based on the novel statistic results, a solvated ligand rotamer approach was developed to explicitly describe the key water molecules at the protein-ligand interface and a water-mediated hydrogen bonding model was applied in the computational protein design context to complement the continuum solvent model. The solvated ligand rotamer approach produces only one additional solvated rotamer for each rotamer in the ligand rotamer library and does not change the number of side-chain rotamers at each protein design site. This has greatly reduced the total combinatorial number in sequence selection for protein design, and the accuracy of the model was confirmed by two tests. For the water placement test, 61% of the crystal water molecules were predicted correctly in five protein-ligand complex structures. For the sequence recapitulation test, 44.7% of the amino acid identities were recovered using the solvated ligand rotamer approach and the water-mediated hydrogen bonding model, while only 30.4% were recovered when the explicitly bound waters were removed. These results indicated that the developed solvated ligand rotamer approach is promising for functional protein design targeting novel protein-ligand interactions.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23192355     DOI: 10.1007/s00894-012-1695-6

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  36 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Native protein sequences are close to optimal for their structures.

Authors:  B Kuhlman; D Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

3.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction.

Authors:  Justin B Siegel; Alexandre Zanghellini; Helena M Lovick; Gert Kiss; Abigail R Lambert; Jennifer L St Clair; Jasmine L Gallaher; Donald Hilvert; Michael H Gelb; Barry L Stoddard; Kendall N Houk; Forrest E Michael; David Baker
Journal:  Science       Date:  2010-07-16       Impact factor: 47.728

5.  An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design.

Authors:  Christina L Vizcarra; Naigong Zhang; Shannon A Marshall; Ned S Wingreen; Chen Zeng; Stephen L Mayo
Journal:  J Comput Chem       Date:  2008-05       Impact factor: 3.376

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.  Satisfying hydrogen bonding potential in proteins.

Authors:  I K McDonald; J M Thornton
Journal:  J Mol Biol       Date:  1994-05-20       Impact factor: 5.469

Review 8.  Hydrogen bonding in globular proteins.

Authors:  E N Baker; R E Hubbard
Journal:  Prog Biophys Mol Biol       Date:  1984       Impact factor: 3.667

9.  The particle concept: placing discrete water molecules during protein-ligand docking predictions.

Authors:  M Rarey; B Kramer; T Lengauer
Journal:  Proteins       Date:  1999-01-01

10.  Hydration in drug design. 2. Influence of local site surface shape on water binding.

Authors:  C S Poornima; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-12       Impact factor: 3.686

View more
  6 in total

1.  Systematic optimization model and algorithm for binding sequence selection in computational enzyme design.

Authors:  Xiaoqiang Huang; Kehang Han; Yushan Zhu
Journal:  Protein Sci       Date:  2013-06-06       Impact factor: 6.725

2.  Evaluation of active designs of cephalosporin C acylase by molecular dynamics simulation and molecular docking.

Authors:  Qing Li; Xiaoqiang Huang; Yushan Zhu
Journal:  J Mol Model       Date:  2014-06-17       Impact factor: 1.810

3.  FASPR: an open-source tool for fast and accurate protein side-chain packing.

Authors:  Xiaoqiang Huang; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

4.  Co-evolution of β-glucosidase activity and product tolerance for increasing cellulosic ethanol yield.

Authors:  Kexin Wang; Qiuxia Huang; Hanxin Li; Xihua Zhao
Journal:  Biotechnol Lett       Date:  2020-06-24       Impact factor: 2.461

5.  Computational design of enzyme-ligand binding using a combined energy function and deterministic sequence optimization algorithm.

Authors:  Ye Tian; Xiaoqiang Huang; Yushan Zhu
Journal:  J Mol Model       Date:  2015-07-11       Impact factor: 1.810

6.  An Engineered Glutamate in Biosynthetic Models of Heme-Copper Oxidases Drives Complete Product Selectivity by Tuning the Hydrogen-Bonding Network.

Authors:  Igor D Petrik; Roman Davydov; Maximilian Kahle; Braddock Sandoval; Sudharsan Dwaraknath; Pia Ädelroth; Brian Hoffman; Yi Lu
Journal:  Biochemistry       Date:  2021-01-19       Impact factor: 3.162

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.