Literature DB >> 25678152

Template-based prediction of protein function.

Donald Petrey1, T Scott Chen2, Lei Deng2, Jose Ignacio Garzon2, Howook Hwang2, Gorka Lasso2, Hunjoong Lee2, Antonina Silkov2, Barry Honig2.   

Abstract

We discuss recent approaches for structure-based protein function annotation. We focus on template-based methods where the function of a query protein is deduced from that of a template for which both the structure and function are known. We describe the different ways of identifying a template. These are typically based on sequence analysis but new methods based on purely structural similarity are also being developed that allow function annotation based on structural relationships that cannot be recognized by sequence. The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide scale and in many different biological contexts. This progress significantly expands the range of applicability of structural information in function annotation to a level that previously was only achievable by sequence comparison.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25678152      PMCID: PMC4512936          DOI: 10.1016/j.sbi.2015.01.007

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  53 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

2.  Protein function prediction using local 3D templates.

Authors:  Roman A Laskowski; James D Watson; Janet M Thornton
Journal:  J Mol Biol       Date:  2005-08-19       Impact factor: 5.469

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4.  Genome-wide functional annotation of dual-specificity protein- and lipid-binding modules that regulate protein interactions.

Authors:  Yong Chen; Ren Sheng; Morten Källberg; Antonina Silkov; Moe P Tun; Nitin Bhardwaj; Svetlana Kurilova; Randy A Hall; Barry Honig; Hui Lu; Wonhwa Cho
Journal:  Mol Cell       Date:  2012-03-22       Impact factor: 17.970

Review 5.  Toward a "structural BLAST": using structural relationships to infer function.

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Journal:  Protein Sci       Date:  2013-02-21       Impact factor: 6.725

Review 6.  The structural network of inflammation and cancer: merits and challenges.

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Journal:  Semin Cancer Biol       Date:  2013-05-24       Impact factor: 15.707

Review 7.  Is protein classification necessary? Toward alternative approaches to function annotation.

Authors:  Donald Petrey; Barry Honig
Journal:  Curr Opin Struct Biol       Date:  2009-03-05       Impact factor: 6.809

8.  DEPTH: a web server to compute depth and predict small-molecule binding cavities in proteins.

Authors:  Kuan Pern Tan; Raghavan Varadarajan; M S Madhusudhan
Journal:  Nucleic Acids Res       Date:  2011-05-16       Impact factor: 16.971

9.  Protein function annotation with Structurally Aligned Local Sites of Activity (SALSAs).

Authors:  Zhouxi Wang; Pengcheng Yin; Joslynn S Lee; Ramya Parasuram; Srinivas Somarowthu; Mary Jo Ondrechen
Journal:  BMC Bioinformatics       Date:  2013-02-28       Impact factor: 3.169

10.  PRISM: a web server and repository for prediction of protein-protein interactions and modeling their 3D complexes.

Authors:  Alper Baspinar; Engin Cukuroglu; Ruth Nussinov; Ozlem Keskin; Attila Gursoy
Journal:  Nucleic Acids Res       Date:  2014-05-14       Impact factor: 16.971

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  15 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-17       Impact factor: 11.205

2.  A hybrid method for protein-protein interface prediction.

Authors:  Howook Hwang; Donald Petrey; Barry Honig
Journal:  Protein Sci       Date:  2015-07-21       Impact factor: 6.725

3.  Modeling complexes of modeled proteins.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2016-10-24

4.  Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies.

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5.  Cell cycle gene expression networks discovered using systems biology: Significance in carcinogenesis.

Authors:  Robert E Scott; Prachi N Ghule; Janet L Stein; Gary S Stein
Journal:  J Cell Physiol       Date:  2015-10       Impact factor: 6.384

Review 6.  Role of Structural Bioinformatics in Drug Discovery by Computational SNP Analysis: Analyzing Variation at the Protein Level.

Authors:  David K Brown; Özlem Tastan Bishop
Journal:  Glob Heart       Date:  2017-03-13

7.  Computational Methods and Deep Learning for Elucidating Protein Interaction Networks.

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Journal:  Methods Mol Biol       Date:  2023

8.  HMI-PRED: A Web Server for Structural Prediction of Host-Microbe Interactions Based on Interface Mimicry.

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Journal:  J Mol Biol       Date:  2020-02-13       Impact factor: 5.469

Review 9.  Proteins and Their Interacting Partners: An Introduction to Protein-Ligand Binding Site Prediction Methods.

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Journal:  Int J Mol Sci       Date:  2015-12-15       Impact factor: 5.923

Review 10.  Modeling enzyme-ligand binding in drug discovery.

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Journal:  J Cheminform       Date:  2015-10-06       Impact factor: 5.514

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