Literature DB >> 17294247

TrixX: structure-based molecule indexing for large-scale virtual screening in sublinear time.

Ingo Schellhammer1, Matthias Rarey.   

Abstract

Structure-based virtual screening today is basically organized as a sequential process where the molecules of a screening library are evaluated for instance with respect to their fit with a biological target. In this paper, we present a novel structure-based screening paradigm avoiding sequential searching and therefore enabling sublinear runtime behavior. We implemented the novel paradigm in the virtual screening tool TrixX and successfully applied it in screening experiments on four targets from relevant therapeutic areas. With the screening paradigm implemented in TrixX, we propose some important extensions and modifications to traditional virtual screening approaches: Instead of processing all compounds in the screening library sequentially, TrixX first analyzes the geometric and physicochemical binding site characteristics and then draws compounds with matching features from a compound catalog. The catalog organizes the compounds by their physicochemical and geometric features making use of relational database technology with indexed tables in order to support efficient queries for compounds with specific features. A key element of the compound catalog is a highly selective geometric descriptor that carries information on the type of functional groups of the compound, their Euclidian distance, the preferred interaction direction of each functional group, and the location of steric bulk around the triangle. In a re-docking experiment with 200 protein-ligand complexes, we could show that TrixX is able to correctly predict the location of ligand functional groups in co-crystallized complexes. In a retrospective virtual screening experiment for four different targets, the enrichment factors of TrixX are comparable to the enrichment factors of FlexX and FlexX-Scan. With computing times clearly below one second per compound, TrixX counts among the fastest virtual screening tools currently available and is nearly two orders of magnitude faster than standard FlexX.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17294247     DOI: 10.1007/s10822-007-9103-5

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   4.179


  29 in total

1.  Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking.

Authors:  B Kramer; M Rarey; T Lengauer
Journal:  Proteins       Date:  1999-11-01

2.  Detailed analysis of scoring functions for virtual screening.

Authors:  M Stahl; M Rarey
Journal:  J Med Chem       Date:  2001-03-29       Impact factor: 7.446

3.  New 4-point pharmacophore method for molecular similarity and diversity applications: overview of the method and applications, including a novel approach to the design of combinatorial libraries containing privileged substructures.

Authors:  J S Mason; I Morize; P R Menard; D L Cheney; C Hulme; R F Labaudiniere
Journal:  J Med Chem       Date:  1999-08-26       Impact factor: 7.446

4.  Flexible docking under pharmacophore type constraints.

Authors:  Sally A Hindle; Matthias Rarey; Christian Buning; Thomas Lengaue
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

5.  Comparative evaluation of 11 scoring functions for molecular docking.

Authors:  Renxiao Wang; Yipin Lu; Shaomeng Wang
Journal:  J Med Chem       Date:  2003-06-05       Impact factor: 7.446

6.  Screening a peptidyl database for potential ligands to proteins with side-chain flexibility.

Authors:  V Schnecke; C A Swanson; E D Getzoff; J A Tainer; L A Kuhn
Journal:  Proteins       Date:  1998-10-01

7.  Docking molecules by families to increase the diversity of hits in database screens: computational strategy and experimental evaluation.

Authors:  A I Su; D M Lorber; G S Weston; W A Baase; B W Matthews; B K Shoichet
Journal:  Proteins       Date:  2001-02-01

8.  Fuzzy pharmacophore models from molecular alignments for correlation-vector-based virtual screening.

Authors:  Steffen Renner; Gisbert Schneider
Journal:  J Med Chem       Date:  2004-09-09       Impact factor: 7.446

9.  Crystal structures of Escherichia coli and Lactobacillus casei dihydrofolate reductase refined at 1.7 A resolution. I. General features and binding of methotrexate.

Authors:  J T Bolin; D J Filman; D A Matthews; R C Hamlin; J Kraut
Journal:  J Biol Chem       Date:  1982-11-25       Impact factor: 5.157

10.  HierVLS hierarchical docking protocol for virtual ligand screening of large-molecule databases.

Authors:  Wely B Floriano; Nagarajan Vaidehi; Georgios Zamanakos; William A Goddard
Journal:  J Med Chem       Date:  2004-01-01       Impact factor: 7.446

View more
  9 in total

1.  Managing bias in ROC curves.

Authors:  Robert D Clark; Daniel J Webster-Clark
Journal:  J Comput Aided Mol Des       Date:  2008-02-07       Impact factor: 3.686

2.  An integrated approach to knowledge-driven structure-based virtual screening.

Authors:  Angela M Henzler; Sascha Urbaczek; Matthias Hilbig; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2014-07-04       Impact factor: 3.686

3.  mRAISE: an alternative algorithmic approach to ligand-based virtual screening.

Authors:  Mathias M von Behren; Stefan Bietz; Eva Nittinger; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2016-08-26       Impact factor: 3.686

4.  Combinatorial library-based design with Basis Products.

Authors:  Joe Zhongxiang Zhou; Shenghua Shi; Jim Na; Zhengwei Peng; Tom Thacher
Journal:  J Comput Aided Mol Des       Date:  2009-07-11       Impact factor: 3.686

5.  A multi-parameter evaluation of the neuroprotective and cognitive-enhancing effects of Origanum onites L. (Turkish Oregano) essential oil on scopolamine-induced amnestic rats.

Authors:  Asli Aykac; Kerem Teralı; Dilek Özbeyli; Seren Ede; Ömercan Albayrak; Kemal Hüsnü Can Başer; Göksel Şener
Journal:  Metab Brain Dis       Date:  2022-02-24       Impact factor: 3.584

6.  Anti-Virulence Activity of 3,3'-Diindolylmethane (DIM): A Bioactive Cruciferous Phytochemical with Accelerated Wound Healing Benefits.

Authors:  Karina Golberg; Victor Markus; Bat-El Kagan; Sigalit Barzanizan; Karin Yaniv; Kerem Teralı; Esti Kramarsky-Winter; Robert S Marks; Ariel Kushmaro
Journal:  Pharmaceutics       Date:  2022-04-30       Impact factor: 6.525

Review 7.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

8.  Isolation, Characterization and In Silico Studies of Secondary Metabolites from the Whole Plant of Polygala inexpectata Peşmen & Erik.

Authors:  Ayşe Ünlü; Kerem Teralı; Zübeyde Uğurlu Aydın; Ali A Dönmez; Hasan Soliman Yusufoğlu; İhsan Çalış
Journal:  Molecules       Date:  2022-01-21       Impact factor: 4.411

9.  Assessing the Molecular Targets and Mode of Action of Furanone C-30 on Pseudomonas aeruginosa Quorum Sensing.

Authors:  Victor Markus; Karina Golberg; Kerem Teralı; Nazmi Ozer; Esti Kramarsky-Winter; Robert S Marks; Ariel Kushmaro
Journal:  Molecules       Date:  2021-03-15       Impact factor: 4.411

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.