Literature DB >> 22113084

FTSite: high accuracy detection of ligand binding sites on unbound protein structures.

Chi-Ho Ngan1, David R Hall, Brandon Zerbe, Laurie E Grove, Dima Kozakov, Sandor Vajda.   

Abstract

MOTIVATION: Binding site identification is a classical problem that is important for a range of applications, including the structure-based prediction of function, the elucidation of functional relationships among proteins, protein engineering and drug design. We describe an accurate method of binding site identification, namely FTSite. This method is based on experimental evidence that ligand binding sites also bind small organic molecules of various shapes and polarity. The FTSite algorithm does not rely on any evolutionary or statistical information, but achieves near experimental accuracy: it is capable of identifying the binding sites in over 94% of apo proteins from established test sets that have been used to evaluate many other binding site prediction methods. AVAILABILITY: FTSite is freely available as a web-based server at http://ftsite.bu.edu.

Mesh:

Substances:

Year:  2011        PMID: 22113084      PMCID: PMC3259439          DOI: 10.1093/bioinformatics/btr651

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites.

Authors:  Alasdair T R Laurie; Richard M Jackson
Journal:  Bioinformatics       Date:  2005-02-08       Impact factor: 6.937

2.  Druggability indices for protein targets derived from NMR-based screening data.

Authors:  Philip J Hajduk; Jeffrey R Huth; Stephen W Fesik
Journal:  J Med Chem       Date:  2005-04-07       Impact factor: 7.446

Review 3.  Locating and characterizing binding sites on proteins.

Authors:  C Mattos; D Ringe
Journal:  Nat Biotechnol       Date:  1996-05       Impact factor: 54.908

4.  Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction.

Authors:  Zengming Zhang; Yu Li; Biaoyang Lin; Michael Schroeder; Bingding Huang
Journal:  Bioinformatics       Date:  2011-06-02       Impact factor: 6.937

5.  Structural conservation of druggable hot spots in protein-protein interfaces.

Authors:  Dima Kozakov; David R Hall; Gwo-Yu Chuang; Regina Cencic; Ryan Brenke; Laurie E Grove; Dmitri Beglov; Jerry Pelletier; Adrian Whitty; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-01       Impact factor: 11.205

6.  SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions.

Authors:  R A Laskowski
Journal:  J Mol Graph       Date:  1995-10

7.  Fragment-based identification of druggable 'hot spots' of proteins using Fourier domain correlation techniques.

Authors:  Ryan Brenke; Dima Kozakov; Gwo-Yu Chuang; Dmitri Beglov; David Hall; Melissa R Landon; Carla Mattos; Sandor Vajda
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

8.  A novel and efficient tool for locating and characterizing protein cavities and binding sites.

Authors:  Ashutosh Tripathi; Glen E Kellogg
Journal:  Proteins       Date:  2010-03

9.  LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation.

Authors:  Bingding Huang; Michael Schroeder
Journal:  BMC Struct Biol       Date:  2006-09-24
  9 in total
  67 in total

1.  Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces.

Authors:  Brandon S Zerbe; David R Hall; Sandor Vajda; Adrian Whitty; Dima Kozakov
Journal:  J Chem Inf Model       Date:  2012-07-24       Impact factor: 4.956

2.  Expression profiling and in silico homology modeling of Inositol pentakisphosphate 2-kinase, a potential candidate gene for low phytate trait in soybean.

Authors:  Nabaneeta Basak; Veda Krishnan; Vanita Pandey; Mansi Punjabi; Alkesh Hada; Ashish Marathe; Monica Jolly; Bhagath Kumar Palaka; Dinakara R Ampasala; Archana Sachdev
Journal:  3 Biotech       Date:  2020-05-27       Impact factor: 2.406

3.  Detection of peptide-binding sites on protein surfaces: the first step toward the modeling and targeting of peptide-mediated interactions.

Authors:  Assaf Lavi; Chi Ho Ngan; Dana Movshovitz-Attias; Tanggis Bohnuud; Christine Yueh; Dmitri Beglov; Ora Schueler-Furman; Dima Kozakov
Journal:  Proteins       Date:  2013-10-17

4.  In silico approach to identify non-synonymous SNPs with highest predicted deleterious effect on protein function in human obesity related gene, neuronal growth regulator 1 (NEGR1).

Authors:  Permendra Kumar; Kulandaivelu Mahalingam
Journal:  3 Biotech       Date:  2018-11-01       Impact factor: 2.406

5.  Potential C-terminal-domain inhibitors of heat shock protein 90 derived from a C-terminal peptide helix.

Authors:  Jason Gavenonis; Nicholas E Jonas; Joshua A Kritzer
Journal:  Bioorg Med Chem       Date:  2014-06-14       Impact factor: 3.641

Review 6.  Pocket-based drug design: exploring pocket space.

Authors:  Xiliang Zheng; Linfeng Gan; Erkang Wang; Jin Wang
Journal:  AAPS J       Date:  2012-11-22       Impact factor: 4.009

7.  The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins.

Authors:  Dima Kozakov; Laurie E Grove; David R Hall; Tanggis Bohnuud; Scott E Mottarella; Lingqi Luo; Bing Xia; Dmitri Beglov; Sandor Vajda
Journal:  Nat Protoc       Date:  2015-04-09       Impact factor: 13.491

8.  Structure-based prediction of ligand-protein interactions on a genome-wide scale.

Authors:  Howook Hwang; Fabian Dey; Donald Petrey; Barry Honig
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-11       Impact factor: 11.205

9.  Exploring the structural origins of cryptic sites on proteins.

Authors:  Dmitri Beglov; David R Hall; Amanda E Wakefield; Lingqi Luo; Karen N Allen; Dima Kozakov; Adrian Whitty; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-26       Impact factor: 11.205

10.  Structure of the Bacillus anthracis Sortase A Enzyme Bound to Its Sorting Signal: A FLEXIBLE AMINO-TERMINAL APPENDAGE MODULATES SUBSTRATE ACCESS.

Authors:  Albert H Chan; Sung Wook Yi; Austen L Terwilliger; Anthony W Maresso; Michael E Jung; Robert T Clubb
Journal:  J Biol Chem       Date:  2015-08-31       Impact factor: 5.157

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