Literature DB >> 19406632

The sequence-structure relationship and protein function prediction.

M I Sadowski1, D T Jones.   

Abstract

An incomplete understanding of protein sequence/structure/function relationships causes many difficulties for prediction methods. The highly complex nature of these relationships is a consequence of the interplay between physics and evolution that has been studied using a wide array of experimental and theoretical techniques. We review recent findings relating to conservation of sequence, structure and function and discuss their use in developing improved prediction methods.

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Year:  2009        PMID: 19406632     DOI: 10.1016/j.sbi.2009.03.008

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


  36 in total

1.  Structure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy function.

Authors:  Huiying Zhao; Yuedong Yang; Yaoqi Zhou
Journal:  Bioinformatics       Date:  2010-06-04       Impact factor: 6.937

2.  The utility of hydrogen/deuterium exchange mass spectrometry in biopharmaceutical comparability studies.

Authors:  Damian Houde; Steven A Berkowitz; John R Engen
Journal:  J Pharm Sci       Date:  2010-12-29       Impact factor: 3.534

3.  Characterizing monoclonal antibody structure by carboxyl group footprinting.

Authors:  Parminder Kaur; Sara E Tomechko; Janna Kiselar; Wuxian Shi; Galahad Deperalta; Aaron T Wecksler; Giridharan Gokulrangan; Victor Ling; Mark R Chance
Journal:  MAbs       Date:  2015       Impact factor: 5.857

4.  Characterizing monoclonal antibody structure by carbodiimide/GEE footprinting.

Authors:  Parminder Kaur; Sara Tomechko; Janna Kiselar; Wuxian Shi; Galahad Deperalta; Aaron T Wecksler; Giridharan Gokulrangan; Victor Ling; Mark R Chance
Journal:  MAbs       Date:  2014       Impact factor: 5.857

5.  Homology modeling in a dynamical world.

Authors:  Alexander Miguel Monzon; Diego Javier Zea; Cristina Marino-Buslje; Gustavo Parisi
Journal:  Protein Sci       Date:  2017-09-28       Impact factor: 6.725

6.  Using deep RNA sequencing for the structural annotation of the Laccaria bicolor mycorrhizal transcriptome.

Authors:  Peter E Larsen; Geetika Trivedi; Avinash Sreedasyam; Vincent Lu; Gopi K Podila; Frank R Collart
Journal:  PLoS One       Date:  2010-07-06       Impact factor: 3.240

7.  Discovering rules for protein-ligand specificity using support vector inductive logic programming.

Authors:  Lawrence A Kelley; Paul J Shrimpton; Stephen H Muggleton; Michael J E Sternberg
Journal:  Protein Eng Des Sel       Date:  2009-07-02       Impact factor: 1.650

8.  Structural informatics, modeling, and design with an open-source Molecular Software Library (MSL).

Authors:  Daniel W Kulp; Sabareesh Subramaniam; Jason E Donald; Brett T Hannigan; Benjamin K Mueller; Gevorg Grigoryan; Alessandro Senes
Journal:  J Comput Chem       Date:  2012-05-08       Impact factor: 3.376

9.  Analyzing the Sequences of Intrinsically Disordered Regions with CIDER and localCIDER.

Authors:  Garrett M Ginell; Alex S Holehouse
Journal:  Methods Mol Biol       Date:  2020

Review 10.  Recent Applications of Deep Learning Methods on Evolution- and Contact-Based Protein Structure Prediction.

Authors:  Donghyuk Suh; Jai Woo Lee; Sun Choi; Yoonji Lee
Journal:  Int J Mol Sci       Date:  2021-06-02       Impact factor: 5.923

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