Literature DB >> 14516754

The jigsaw puzzle model: search for conformational specificity in protein interiors.

Rahul Banerjee1, Malabika Sen, Dhananjay Bhattacharya, Partha Saha.   

Abstract

The jigsaw puzzle model postulates that the predominant factor relating primary sequence to three-dimensional fold lies in the stereospecific packing of interdigitating side-chains within densely packed protein interiors. An attempt has been made to check the validity of the model by means of a surface complementarity function. Out of a database of 100 highly resolved protein structures the contacts between buried hydrophobic residues (Leu, Ile, Val, Phe) and their neighbours have been categorized in terms of the extent of side-chain surface area involved in a contact (overlap) and their steric fit (Sm). The results show that the majority of contacts between a buried residue and its immediate neighbours (side-chains) are of high steric fit and in the case of extended overlap at least one of the angular parameters characterizing interresidue geometry to have pronounced deviation from a random distribution, estimated by chi(2). The calculations thus tend to support the "jigsaw puzzle" model in that 75-85% of the contacts involving hydrophobic residues are of high surface complementarity, which, coupled to high overlap, exercise fairly stringent constraints over the possible geometrical orientations between interacting residues. These constraints manifest in simple patterns in the distributions of orientational angles. Approximately 60-80% of the buried side-chain surface packs against neighbouring side-chains, the rest interacting with main-chain atoms. The latter partition of the surface maintains an equally high steric fit (relative to side-chain contacts) emphasizing a non-trivial though secondary role played by main-chain atoms in interior packing. The majority of this class of contacts, though of high complementarity, is of reduced overlap. All residues whether hydrophobic or polar/charged show similar surface complementarity measures upon burial, indicating comparable competence of all amino acids in packing effectively with their atomic environments. The specificity thus appears to be distributed over the entire network of contacts within proteins. The study concludes with a proposal to classify contacts as specific and non-specific (based on overlap and fit), with the former perhaps contributing more to the specificity between sequence and fold than the latter.

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Year:  2003        PMID: 14516754     DOI: 10.1016/j.jmb.2003.08.013

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  17 in total

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2.  Balancing energy and entropy: a minimalist model for the characterization of protein folding landscapes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-08       Impact factor: 11.205

3.  Minimizing frustration by folding in an aqueous environment.

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4.  A new computational model to study mass inhomogeneity and hydrophobicity inhomogeneity in proteins.

Authors:  Anirban Banerji; Indira Ghosh
Journal:  Eur Biophys J       Date:  2009-02-13       Impact factor: 1.733

5.  Salt-bridge networks within globular and disordered proteins: characterizing trends for designable interactions.

Authors:  Sankar Basu; Debasish Mukharjee
Journal:  J Mol Model       Date:  2017-06-19       Impact factor: 1.810

6.  CPdock: the complementarity plot for docking of proteins: implementing multi-dielectric continuum electrostatics.

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Journal:  J Mol Model       Date:  2017-12-07       Impact factor: 1.810

7.  A multidisciplinary approach to probing enthalpy-entropy compensation and the interfacial mobility model.

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Journal:  J Am Chem Soc       Date:  2011-07-07       Impact factor: 15.419

8.  Analysis of stacking overlap in nucleic acid structures: algorithm and application.

Authors:  Pavan Kumar Pingali; Sukanya Halder; Debasish Mukherjee; Sankar Basu; Rahul Banerjee; Devapriya Choudhury; Dhananjay Bhattacharyya
Journal:  J Comput Aided Mol Des       Date:  2014-07-03       Impact factor: 3.686

9.  Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds.

Authors:  Nadia Melo Borges; Geraldo Rodrigues Sartori; Jean F R Ribeiro; Josmar R Rocha; João B L Martins; Carlos A Montanari; Ricardo Gargano
Journal:  J Mol Model       Date:  2018-01-13       Impact factor: 1.810

10.  Mapping the distribution of packing topologies within protein interiors shows predominant preference for specific packing motifs.

Authors:  Sankar Basu; Dhananjay Bhattacharyya; Rahul Banerjee
Journal:  BMC Bioinformatics       Date:  2011-05-24       Impact factor: 3.169

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