Literature DB >> 8265566

Molecular skins: a new concept for quantitative shape matching of a protein with its small molecule mimics.

B B Masek1, A Merchant, J B Matthew.   

Abstract

A novel analytical method for comparing molecular shapes by optimizing the intersection of molecular "SKINS" has been developed. This method provides a quantitative measure of the shape similarity by maximizing the intersection volume of molecular surfaces with a finite thickness; a molecular skin. We report shape matching of a small tripeptide inhibitor (DFKi) of elastase class proteins with the 56 residue turkey ovomucoid inhibitor (TOMI). To match a large elastase inhibitor such as TOMI with a small inhibitor or drug, we found that it is necessary to use a skin match rather than molecular volume. Skin based comparisons of TOMI protein with DFKi successfully found the alignment expected from comparison of their respective crystallographic complexes with elastase (i.e. HLE/TOMI complex and PPE/tripeptide complex). In the skin comparison of the tripeptide with the TOMI protein, blind searching for skin matches involved optimization of the skin intersection from 172 starting positions randomly selected from a set of 500 points on the TOMI van der Waals surface [within 9.5 A of the Leu-18 on the TOMI binding loop (1 point/A2)]. The tripeptide center of mass was placed at these points and its orientation was randomized before optimization was initiated. The best skin intersection, 86.4 A3, was found three times and corresponds to the experimental alignment. The next best skin intersection was 78.1 A3 giving a discrimination factor in this case of 10%. Searches over the entire surface of the TOMI protein did not identify any new matches with skin intersection greater than 78.1 A3. Matching the DFKi with a TOMI structure relaxed from its crystal conformation by molecular dynamics gives similar results.

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Year:  1993        PMID: 8265566     DOI: 10.1002/prot.340170208

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  12 in total

1.  Morphological similarity: a 3D molecular similarity method correlated with protein-ligand recognition.

Authors:  A N Jain
Journal:  J Comput Aided Mol Des       Date:  2000-02       Impact factor: 3.686

2.  A novel method of aligning molecules by local surface shape similarity.

Authors:  D A Cosgrove; D M Bayada; A P Johnson
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

3.  Variable selection and model validation of 2D and 3D molecular descriptors.

Authors:  Anthony Nicholls; Norah E MacCuish; John D MacCuish
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

4.  Molecular shape and electrostatics in the encoding of relevant chemical information.

Authors:  Anthony Nicholls; J Andrew Grant
Journal:  J Comput Aided Mol Des       Date:  2005-11-23       Impact factor: 3.686

5.  Comparison of protein surfaces using a genetic algorithm.

Authors:  A R Poirrette; P J Artymiuk; D W Rice; P Willett
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

6.  Molecular surface-volume and property matching to superpose flexible dissimilar molecules.

Authors:  T D Perkins; J E Mills; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-12       Impact factor: 3.686

7.  Does your model weigh the same as a duck?

Authors:  Ajay N Jain; Ann E Cleves
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

8.  FTIP: an accurate and efficient method for global protein surface comparison.

Authors:  Yuan Zhang; Xing Sui; Scott Stagg; Jinfeng Zhang
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

9.  An automated method for predicting the positions of hydrogen-bonding atoms in binding sites.

Authors:  J E Mills; T D Perkins; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1997-05       Impact factor: 3.686

10.  IDSS: deformation invariant signatures for molecular shape comparison.

Authors:  Yu-Shen Liu; Yi Fang; Karthik Ramani
Journal:  BMC Bioinformatics       Date:  2009-05-22       Impact factor: 3.169

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