Literature DB >> 23526172

PI2PE: A Suite of Web Servers for Predictions Ranging From Protein Structure to Binding Kinetics.

Sanbo Qin1, Huan-Xiang Zhou.   

Abstract

PI2PE (http://pipe.sc.fsu.edu) is a suite of four web servers for predicting a variety of folding- and binding-related properties of proteins. These include the solvent accessibility of amino acids upon protein folding, the amino acids forming the interfaces of protein-protein and protein-nucleic acid complexes, and the binding rate constants of these complexes. Three of the servers debuted in 2007, and have garnered ~2,500 unique users and finished over 30,000 jobs. The functionalities of these servers are now enhanced, and a new sever, for predicting the binding rate constants, is added. Together, these web servers form a pipeline from protein sequence to tertiary structure, then to quaternary structure, and finally to binding kinetics.

Entities:  

Keywords:  association rate constant; protein-DNA interaction site; protein-protein interaction site; solvent accessibility

Year:  2012        PMID: 23526172      PMCID: PMC3605041          DOI: 10.1007/s12551-012-0086-7

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  44 in total

1.  Biophysical characterization of interactions between the core binding factor alpha and beta subunits and DNA.

Authors:  Y Y Tang; B E Crute; J J Kelley; X Huang; J Yan; J Shi; K L Hartman; T M Laue; N A Speck; J H Bushweller
Journal:  FEBS Lett       Date:  2000-03-24       Impact factor: 4.124

2.  Scoring optimisation of unbound protein-protein docking including protein binding site predictions.

Authors:  Sebastian Schneider; Martin Zacharias
Journal:  J Mol Recognit       Date:  2012-01       Impact factor: 2.137

3.  Data-driven docking: HADDOCK's adventures in CAPRI.

Authors:  A D J van Dijk; S J de Vries; C Dominguez; H Chen; H-X Zhou; A M J J Bonvin
Journal:  Proteins       Date:  2005-08-01

Review 4.  Interaction-site prediction for protein complexes: a critical assessment.

Authors:  Huan-Xiang Zhou; Sanbo Qin
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

5.  Electrostatic rate enhancement and transient complex of protein-protein association.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Proteins       Date:  2008-04

6.  Predicting protein-protein interactions on a proteome scale by matching evolutionary and structural similarities at interfaces using PRISM.

Authors:  Nurcan Tuncbag; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  Nat Protoc       Date:  2011-08-11       Impact factor: 13.491

7.  Rationalizing 5000-fold differences in receptor-binding rate constants of four cytokines.

Authors:  Xiaodong Pang; Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2011-09-07       Impact factor: 4.033

8.  A novel method for protein-protein interaction site prediction using phylogenetic substitution models.

Authors:  David La; Daisuke Kihara
Journal:  Proteins       Date:  2011-10-12

9.  Prediction of solvent accessibility and sites of deleterious mutations from protein sequence.

Authors:  Huiling Chen; Huan-Xiang Zhou
Journal:  Nucleic Acids Res       Date:  2005-06-03       Impact factor: 16.971

10.  MODBASE, a database of annotated comparative protein structure models and associated resources.

Authors:  Ursula Pieper; Narayanan Eswar; Ben M Webb; David Eramian; Libusha Kelly; David T Barkan; Hannah Carter; Parminder Mankoo; Rachel Karchin; Marc A Marti-Renom; Fred P Davis; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2008-10-23       Impact factor: 16.971

View more
  2 in total

1.  Biophysical Reviews publications on DNA structure and function that complement this Special Issue on DNA supercoiling.

Authors:  Cris Dos Remedios
Journal:  Biophys Rev       Date:  2016-07-15

2.  Kinetics of the multitasking high-affinity Win binding site of WDR5 in restricted and unrestricted conditions.

Authors:  Ali Imran; Brandon S Moyer; Ashley J Canning; Dan Kalina; Thomas M Duncan; Kelsey J Moody; Aaron J Wolfe; Michael S Cosgrove; Liviu Movileanu
Journal:  Biochem J       Date:  2021-06-11       Impact factor: 3.766

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.