Literature DB >> 20529888

COMA server for protein distant homology search.

Mindaugas Margelevicius1, Mindaugas Laganeckas, Ceslovas Venclovas.   

Abstract

SUMMARY: Detection of distant homology is a widely used computational approach for studying protein evolution, structure and function. Here, we report a homology search web server based on sequence profile-profile comparison. The user may perform searches in one of several regularly updated profile databases using either a single sequence or a multiple sequence alignment as an input. The same profile databases can also be downloaded for local use. The capabilities of the server are illustrated with the identification of new members of the highly diverse PD-(D/E)XK nuclease superfamily. AVAILABILITY: http://www.ibt.lt/bioinformatics/coma/

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20529888     DOI: 10.1093/bioinformatics/btq306

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


  16 in total

1.  In silico interaction analysis of cannabinoid receptor interacting protein 1b (CRIP1b) - CB1 cannabinoid receptor.

Authors:  Pratishtha Singh; Anjali Ganjiwale; Allyn C Howlett; Sudha M Cowsik
Journal:  J Mol Graph Model       Date:  2017-09-06       Impact factor: 2.518

2.  Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis.

Authors:  Bin Liu; Junjie Chen; Xiaolong Wang
Journal:  Mol Genet Genomics       Date:  2015-04-21       Impact factor: 3.291

3.  The little elongation complex regulates small nuclear RNA transcription.

Authors:  Edwin R Smith; Chengqi Lin; Alexander S Garrett; Janet Thornton; Nima Mohaghegh; Deqing Hu; Jessica Jackson; Anita Saraf; Selene K Swanson; Christopher Seidel; Laurence Florens; Michael P Washburn; Joel C Eissenberg; Ali Shilatifard
Journal:  Mol Cell       Date:  2011-12-23       Impact factor: 17.970

4.  In silico and in vivo studies of molecular structures and mechanisms of AtPCS1 protein involved in binding arsenite and/or cadmium in plant cells.

Authors:  Noor Nahar; Aminur Rahman; Maria Moś; Tomasz Warzecha; Sibdas Ghosh; Khaled Hossain; Neelu N Nawani; Abul Mandal
Journal:  J Mol Model       Date:  2014-02-20       Impact factor: 1.810

5.  Predicting the molecular interactions of CRIP1a-cannabinoid 1 receptor with integrated molecular modeling approaches.

Authors:  Mostafa H Ahmed; Glen E Kellogg; Dana E Selley; Martin K Safo; Yan Zhang
Journal:  Bioorg Med Chem Lett       Date:  2014-01-08       Impact factor: 2.823

6.  The little elongation complex functions at initiation and elongation phases of snRNA gene transcription.

Authors:  Deqing Hu; Edwin R Smith; Alexander S Garruss; Nima Mohaghegh; Joseph M Varberg; Chengqi Lin; Jessica Jackson; Xin Gao; Anita Saraf; Laurence Florens; Michael P Washburn; Joel C Eissenberg; Ali Shilatifard
Journal:  Mol Cell       Date:  2013-08-08       Impact factor: 17.970

7.  In silico and in vivo studies of an Arabidopsis thaliana gene, ACR2, putatively involved in arsenic accumulation in plants.

Authors:  Noor Nahar; Aminur Rahman; Maria Moś; Tomasz Warzecha; Maria Algerin; Sibdas Ghosh; Sheila Johnson-Brousseau; Abul Mandal
Journal:  J Mol Model       Date:  2012-05-06       Impact factor: 1.810

8.  Using amino acid physicochemical distance transformation for fast protein remote homology detection.

Authors:  Bin Liu; Xiaolong Wang; Qingcai Chen; Qiwen Dong; Xun Lan
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

9.  Towards improved quality of GPCR models by usage of multiple templates and profile-profile comparison.

Authors:  Dorota Latek; Pawel Pasznik; Teresa Carlomagno; Slawomir Filipek
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

10.  Structural fold and binding sites of the human Na⁺-phosphate cotransporter NaPi-II.

Authors:  Cristina Fenollar-Ferrer; Monica Patti; Thomas Knöpfel; Andreas Werner; Ian C Forster; Lucy R Forrest
Journal:  Biophys J       Date:  2014-03-18       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.