Literature DB >> 25658850

Structural and physico-chemical effects of disease and non-disease nsSNPs on proteins.

Tugba G Kucukkal1, Marharyta Petukh1, Lin Li1, Emil Alexov2.   

Abstract

This review emphasizes the effects of naturally occurring mutations on structural features and physico-chemical properties of proteins. The basic protein characteristics considered are stability, dynamics, and the binding of proteins and methods for assessing effects of mutations on these macromolecular characteristics are briefly outlined. It is emphasized that the above entities mostly reflect global characteristics of considered macromolecules, while given mutations may alter the local structural features such as salt bridges and hydrogen bonds without affecting the global ones. Furthermore, it is pointed out that disease-causing mutations frequently involve a drastic change of amino acid physico-chemical properties such as charge, hydrophobicity, and geometry, and are less surface exposed than polymorphic mutations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25658850      PMCID: PMC4511717          DOI: 10.1016/j.sbi.2015.01.003

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


  56 in total

1.  Consequences of the disease-related L78R mutation for dimerization and activity of STAT3.

Authors:  Tamás Domoszlai; Antons Martincuks; Dirk Fahrenkamp; Hildegard Schmitz-Van de Leur; Andrea Küster; Gerhard Müller-Newen
Journal:  J Cell Sci       Date:  2014-02-25       Impact factor: 5.285

2.  Strong dimerization of wild-type ErbB2/Neu transmembrane domain and the oncogenic Val664Glu mutant in mammalian plasma membranes.

Authors:  Jesse Placone; Lijuan He; Nuala Del Piccolo; Kalina Hristova
Journal:  Biochim Biophys Acta       Date:  2014-03-11

3.  Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information.

Authors:  E Capriotti; R Calabrese; R Casadio
Journal:  Bioinformatics       Date:  2006-08-07       Impact factor: 6.937

4.  Clinically relevant variants - identifying, collecting, interpreting, and disseminating: the 2013 annual scientific meeting of the Human Genome Variation Society.

Authors:  Christine M Stanley; Shamil R Sunyaev; Marc S Greenblatt; William S Oetting
Journal:  Hum Mutat       Date:  2014-04       Impact factor: 4.878

5.  Impaired peroxisome proliferator-activated receptor gamma function through mutation of a conserved salt bridge (R425C) in familial partial lipodystrophy.

Authors:  Ellen H Jeninga; Olivier van Beekum; Aalt D J van Dijk; Nicole Hamers; Brenda I Hendriks-Stegeman; Alexandre M J J Bonvin; Ruud Berger; Eric Kalkhoven
Journal:  Mol Endocrinol       Date:  2007-02-20

6.  A case of severe hyperaldosteronism caused by a de novo mutation affecting a critical salt bridge Kir3.4 residue.

Authors:  Silvia Monticone; Sascha Bandulik; Julia Stindl; Mihail Zilbermint; Ivan Dedov; Paolo Mulatero; Michael Allgaeuer; Chyi-Chia Richard Lee; Constantine A Stratakis; Tracy A Williams; Anatoly Tiulpakov
Journal:  J Clin Endocrinol Metab       Date:  2015-01       Impact factor: 5.958

7.  Structural basis of the transactivation deficiency of the human PPARγ F360L mutant associated with familial partial lipodystrophy.

Authors:  Clorinda Lori; Alessandra Pasquo; Roberta Montanari; Davide Capelli; Valerio Consalvi; Roberta Chiaraluce; Laura Cervoni; Fulvio Loiodice; Antonio Laghezza; Massimiliano Aschi; Alessandra Giorgi; Giorgio Pochetti
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2014-06-29

8.  Use of long term molecular dynamics simulation in predicting cancer associated SNPs.

Authors:  Ambuj Kumar; Rituraj Purohit
Journal:  PLoS Comput Biol       Date:  2014-04-10       Impact factor: 4.475

9.  Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation.

Authors:  Niklas Berliner; Joan Teyra; Recep Colak; Sebastian Garcia Lopez; Philip M Kim
Journal:  PLoS One       Date:  2014-09-22       Impact factor: 3.240

Review 10.  Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics.

Authors:  Tugba G Kucukkal; Ye Yang; Susan C Chapman; Weiguo Cao; Emil Alexov
Journal:  Int J Mol Sci       Date:  2014-05-30       Impact factor: 5.923

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  67 in total

1.  On human disease-causing amino acid variants: statistical study of sequence and structural patterns.

Authors:  Marharyta Petukh; Tugba G Kucukkal; Emil Alexov
Journal:  Hum Mutat       Date:  2015-04-06       Impact factor: 4.878

2.  Improving the Accuracy of Protein Thermostability Predictions for Single Point Mutations.

Authors:  Jianxin Duan; Dmitry Lupyan; Lingle Wang
Journal:  Biophys J       Date:  2020-05-29       Impact factor: 4.033

3.  SSIPe: accurately estimating protein-protein binding affinity change upon mutations using evolutionary profiles in combination with an optimized physical energy function.

Authors:  Xiaoqiang Huang; Wei Zheng; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-04-15       Impact factor: 6.937

4.  DelPhiForce, a tool for electrostatic force calculations: Applications to macromolecular binding.

Authors:  Lin Li; Arghya Chakravorty; Emil Alexov
Journal:  J Comput Chem       Date:  2017-01-28       Impact factor: 3.376

5.  TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.

Authors:  Zixuan Cang; Guo-Wei Wei
Journal:  PLoS Comput Biol       Date:  2017-07-27       Impact factor: 4.475

6.  Asp263 missense variants perturb the active site of human phosphoglucomutase 1.

Authors:  Kyle M Stiers; Abigail C Graham; Bailee N Kain; Lesa J Beamer
Journal:  FEBS J       Date:  2017-02-10       Impact factor: 5.542

7.  Investigating the linkage between disease-causing amino acid variants and their effect on protein stability and binding.

Authors:  Yunhui Peng; Emil Alexov
Journal:  Proteins       Date:  2016-01-11

8.  mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.

Authors:  Michael J Meyer; Ryan Lapcevic; Alfonso E Romero; Mark Yoon; Jishnu Das; Juan Felipe Beltrán; Matthew Mort; Peter D Stenson; David N Cooper; Alberto Paccanaro; Haiyuan Yu
Journal:  Hum Mutat       Date:  2016-02-18       Impact factor: 4.878

Review 9.  Implications of disease-related mutations at protein-protein interfaces.

Authors:  Dapeng Xiong; Dongjin Lee; Le Li; Qiuye Zhao; Haiyuan Yu
Journal:  Curr Opin Struct Biol       Date:  2021-12-24       Impact factor: 6.809

10.  SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein-protein binding affinity.

Authors:  Gen Li; Swagata Pahari; Adithya Krishna Murthy; Siqi Liang; Robert Fragoza; Haiyuan Yu; Emil Alexov
Journal:  Bioinformatics       Date:  2021-05-17       Impact factor: 6.937

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