Literature DB >> 9571085

Homology modeling with low sequence identity.

A Tramontano1.   

Abstract

The field of protein structure prediction is evolving rapidly and in the last few years a number of new methods have been developed and evaluated. However, comparative modeling, or modeling by homology, is still the method of choice when the unknown protein shares any significant sequence similarity with a protein of known structure. The accuracy of the method is highly dependent on the degree of similarity between the target protein and that used as a template. Nevertheless, careful consideration of all the steps performed in the modeling procedure allows useful information to be obtained also from a model based on very low sequence identity.

Mesh:

Substances:

Year:  1998        PMID: 9571085     DOI: 10.1006/meth.1998.0585

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  21 in total

Review 1.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

2.  FlgM anti-sigma factors: identification of novel members of the family, evolutionary analysis, homology modeling, and analysis of sequence-structure-function relationships.

Authors:  T Pons; B González; F Ceciliani; A Galizzi
Journal:  J Mol Model       Date:  2006-05-04       Impact factor: 1.810

3.  Homology modeling and examination of the effect of the D92E mutation on the H5N1 nonstructural protein NS1 effector domain.

Authors:  Minyong Li; Binghe Wang
Journal:  J Mol Model       Date:  2007-10-05       Impact factor: 1.810

4.  Characterization and molecular modeling of polygalacturonase isoforms from Saccharomyces cerevisiae.

Authors:  Vijayakumar Poondla; Rajasekhar Chikati; Monika Kallubai; Vidyasagar Chennupati; Rajagopal Subramanyam; Vijaya Sarathi Reddy Obulam
Journal:  3 Biotech       Date:  2017-08-17       Impact factor: 2.406

5.  Characterization of a comparative model of the extracellular domain of the epidermal growth factor receptor.

Authors:  R N Jorissen; V C Epa; H R Treutlein; T P Garrett; C W Ward; A W Burgess
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

Review 6.  Macromolecular Modelling and Docking Simulations for the Discovery of Selective GPER Ligands.

Authors:  Camillo Rosano; Marco Ponassi; Maria Francesca Santolla; Assunta Pisano; Lamberto Felli; Adele Vivacqua; Marcello Maggiolini; Rosamaria Lappano
Journal:  AAPS J       Date:  2015-11-16       Impact factor: 4.009

7.  In silico analysis of the amido phosphoribosyltransferase inhibition by PY873, PY899 and a derivative of isophthalic acid.

Authors:  Sidra Batool; Muhammad Sulaman Nawaz; Mohammad A Kamal
Journal:  Invest New Drugs       Date:  2013-03-13       Impact factor: 3.850

8.  Computational studies of the binding site of alpha1A-adrenoceptor antagonists.

Authors:  Minyong Li; Hao Fang; Lupei Du; Lin Xia; Binghe Wang
Journal:  J Mol Model       Date:  2008-07-15       Impact factor: 1.810

9.  Molecular modelling and comparative structural account of aspartyl beta-semialdehyde dehydrogenase of Mycobacterium tuberculosis (H37Rv).

Authors:  Anupama Singh; Hemant R Kushwaha; Pawan Sharma
Journal:  J Mol Model       Date:  2008-01-31       Impact factor: 1.810

10.  Theoretical model of the three-dimensional structure of a sugar-binding protein from Pyrococcus horikoshii: structural analysis and sugar-binding simulations.

Authors:  Anna Marabotti; Sabato D'Auria; Mosé Rossi; Angelo M Facchiano
Journal:  Biochem J       Date:  2004-06-15       Impact factor: 3.857

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.