Literature DB >> 17342716

Ultrafast shape recognition to search compound databases for similar molecular shapes.

Pedro J Ballester1, W Graham Richards.   

Abstract

Finding a set of molecules, which closely resemble a given lead molecule, from a database containing potentially billions of chemical structures is an important but daunting problem. Similar molecular shapes are particularly important, given that in biology small organic molecules frequently act by binding into a defined and complex site on a macromolecule. Here, we present a new method for molecular shape comparison, named ultrafast shape recognition (USR), capable of screening billions of compounds for similar shapes using a single computer and without the need of aligning the molecules before testing for similarity. Despite its extremely fast comparison rate, USR will be shown to be highly accurate at describing, and hence comparing, molecular shapes. (c) 2007 Wiley Periodicals, Inc.

Mesh:

Year:  2007        PMID: 17342716     DOI: 10.1002/jcc.20681

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  63 in total

1.  ElectroShape: fast molecular similarity calculations incorporating shape, chirality and electrostatics.

Authors:  M Stuart Armstrong; Garrett M Morris; Paul W Finn; Raman Sharma; Loris Moretti; Richard I Cooper; W Graham Richards
Journal:  J Comput Aided Mol Des       Date:  2010-07-08       Impact factor: 3.686

2.  Comparison of ultra-fast 2D and 3D ligand and target descriptors for side effect prediction and network analysis in polypharmacology.

Authors:  Alvaro Cortés-Cabrera; Garrett M Morris; Paul W Finn; Antonio Morreale; Federico Gago
Journal:  Br J Pharmacol       Date:  2013-10       Impact factor: 8.739

3.  Protein pocket and ligand shape comparison and its application in virtual screening.

Authors:  Matthias Wirth; Andrea Volkamer; Vincent Zoete; Friedrich Rippmann; Olivier Michielin; Matthias Rarey; Wolfgang H B Sauer
Journal:  J Comput Aided Mol Des       Date:  2013-06-27       Impact factor: 3.686

4.  Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections.

Authors:  Paul A Clemons; J Anthony Wilson; Vlado Dančík; Sandrine Muller; Hyman A Carrinski; Bridget K Wagner; Angela N Koehler; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-11       Impact factor: 11.205

5.  Improving the accuracy of ultrafast ligand-based screening: incorporating lipophilicity into ElectroShape as an extra dimension.

Authors:  M Stuart Armstrong; Paul W Finn; Garrett M Morris; W Graham Richards
Journal:  J Comput Aided Mol Des       Date:  2011-08-06       Impact factor: 3.686

6.  Alpha shapes applied to molecular shape characterization exhibit novel properties compared to established shape descriptors.

Authors:  J Anthony Wilson; Andreas Bender; Taner Kaya; Paul A Clemons
Journal:  J Chem Inf Model       Date:  2009-10       Impact factor: 4.956

Review 7.  The importance of discerning shape in molecular pharmacology.

Authors:  Sandhya Kortagere; Matthew D Krasowski; Sean Ekins
Journal:  Trends Pharmacol Sci       Date:  2009-01-31       Impact factor: 14.819

8.  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

9.  Tracing conformational changes in proteins.

Authors:  Nurit Haspel; Mark Moll; Matthew L Baker; Wah Chiu; Lydia E Kavraki
Journal:  BMC Struct Biol       Date:  2010-05-17

10.  Application of 3D Zernike descriptors to shape-based ligand similarity searching.

Authors:  Vishwesh Venkatraman; Padmasini Ramji Chakravarthy; Daisuke Kihara
Journal:  J Cheminform       Date:  2009-12-17       Impact factor: 5.514

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