Literature DB >> 8170926

A method for rapidly assessing and refining simple solvent treatments in molecular modelling. Example studies on the antigen-combining loop H2 from FAB fragment McPC603.

V P Collura1, P J Greaney, B Robson.   

Abstract

Different simple solvent models have been implemented in an extended simulated annealing process (ESAP), developed by Higo et al. [(1992) Biopolymers, 32, 33-43] and proven to be able to predict ab initio the conformation of the antigen-combining loop H2 from FAB McPC603. The rationale used here provides a useful new method for testing solvent models in general. The different solvent models comprise a high dielectric constant, a screened coulomb potential, a dummy water model and a statistical continuum treatment of the solvent effect in which the reaction field and the solvent accessible area is accounted for. To assess the effect of the solvent, we tested the ability of simulations to retain the experimental conformation of loop H2. We compared the different structures obtained at the end of the annealing process in terms of root mean square deviation (r.m.s.d.), for both the backbone and for all atoms, root mean square (r.m.s.) fluctuation, solvent accessible surface area (ASA), hydrogen bonding network and phi-psi plot distribution. The relationship between the r.m.s.d. and the internal energy of a structure is also evaluated in terms of precision and another possible method for obtaining the best conformation is discussed. The accuracy of modelling the coarse effect of the solvent and the similarities of the resulting structures with respect to the X-ray reference structure are examined. The possible choice of one of these solvent models in the structure determination of an unknown loop structure is discussed.

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Year:  1994        PMID: 8170926     DOI: 10.1093/protein/7.2.221

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  2 in total

1.  A self-consistent, microenvironment modulated screened coulomb potential approximation to calculate pH-dependent electrostatic effects in proteins.

Authors:  E L Mehler; F Guarnieri
Journal:  Biophys J       Date:  1999-07       Impact factor: 4.033

2.  Drug discovery using very large numbers of patents: general strategy with extensive use of match and edit operations.

Authors:  Barry Robson; Jin Li; Richard Dettinger; Amanda Peters; Stephen K Boyer
Journal:  J Comput Aided Mol Des       Date:  2011-05-03       Impact factor: 3.686

  2 in total

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