Literature DB >> 8641473

Prediction of potential protein-protein interaction sites from amino acid sequence. Identification of a fibrin polymerization site.

R M Kini1, H J Evans.   

Abstract

Identification of a protein-protein interaction site is an important step that has significant potential to clarify structure-function relationships of proteins and drug design. We propose here a unique predictive method to identify protein-protein interaction sites based on the observation that proline is the most common residue found in the flanking segments of interaction sites [Kini, R.M. and Evans, H.J. (1995) Biochem. Biophys. Res. Commun. 212, 1115-1124]. Accordingly, the interaction sites of proteins might be predicted directly from the amino acid sequence based on the presence of proline brackets. Using this strategy, we have predicted a polymerization site in the epitope of the Aalpha-chain of fibrinogen recognized by a monoclonal antibody, 9E9 which inhibits fibrin polymerization [Cierniewski, C.S. and Budzynski, A.Z. (1992) Biochemistry 31, 4248-4253]. The synthetic peptide comprising this predicted site inhibited the coagulation of human blood and allosterically interfered in fibrin polymerization. This is the first known allosteric polymerization site of fibrinogen. Thus the results validate the predicted site and the method for prediction. This unique predictive method should help in identifying the interaction sites of many proteins.

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Year:  1996        PMID: 8641473     DOI: 10.1016/0014-5793(96)00327-4

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  10 in total

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2.  A hybrid method for protein-protein interface prediction.

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3.  Development of a unique 3D interaction model of endogenous and synthetic peripheral benzodiazepine receptor ligands.

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4.  In Silico Design of Novel Anticoagulant Peptides targeting Blood Coagulation Factor VIIa.

Authors:  Manal S Q Al-Amri; Khalid Alrasadi; Riad Bayoumi; Yajnavalka Banerjee
Journal:  Sultan Qaboos Univ Med J       Date:  2011-02-12

5.  Crystal structure of Aedes aegypti trypsin inhibitor in complex with μ-plasmin reveals role for scaffold stability in Kazal-type serine protease inhibitor.

Authors:  Varsha Ashok Walvekar; Karthik Ramesh; Chacko Jobichen; Muthu Kannan; J Sivaraman; R Manjunatha Kini; Yu Keung Mok
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6.  Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information.

Authors:  Peng Chen; Jinyan Li
Journal:  BMC Bioinformatics       Date:  2010-07-28       Impact factor: 3.169

Review 7.  Investigation of stable and transient protein-protein interactions: Past, present, and future.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Joseph A Loo; Costel C Darie
Journal:  Proteomics       Date:  2013-01-18       Impact factor: 3.984

8.  Predicting binding sites of hydrolase-inhibitor complexes by combining several methods.

Authors:  Taner Z Sen; Andrzej Kloczkowski; Robert L Jernigan; Changhui Yan; Vasant Honavar; Kai-Ming Ho; Cai-Zhuang Wang; Yungok Ihm; Haibo Cao; Xun Gu; Drena Dobbs
Journal:  BMC Bioinformatics       Date:  2004-12-17       Impact factor: 3.169

9.  Toxinology provides multidirectional and multidimensional opportunities: A personal perspective.

Authors:  R Manjunatha Kini
Journal:  Toxicon X       Date:  2020-05-11

10.  Widespread Evolution of Molecular Resistance to Snake Venom α-Neurotoxins in Vertebrates.

Authors:  Muzaffar A Khan; Daniel Dashevsky; Harald Kerkkamp; Dušan Kordiš; Merijn A G de Bakker; Roel Wouters; Jory van Thiel; Bianca Op den Brouw; Freek Vonk; R Manjunatha Kini; Jawad Nazir; Bryan G Fry; Michael K Richardson
Journal:  Toxins (Basel)       Date:  2020-10-02       Impact factor: 4.546

  10 in total

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