Title
Soft computing methods for the prediction of protein tertiary structures: A survey
Date Issued
20 July 2015
Access level
open access
Resource Type
review
Author(s)
Márquez-Chamorro A.
Asencio-Cortés G.
University of Ciego de Ávila
Pablo de Olavide University
Publisher(s)
Elsevier Ltd
Abstract
The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to understand their functions at molecular level. The most representative soft computing approaches for solving the protein tertiary structure prediction problem are summarized in this paper. These approaches have been categorized following the type of methodology. A total of 90 relevant works published in last 15 years in the field of protein structure prediction have been reported, including the best competitors in last CASP editions. However, despite large research effort in last decades, a considerable scope for further improvement still remains in this area.
Start page
398
End page
410
Volume
35
Language
English
OCDE Knowledge area
Tecnología para la identificación y funcionamiento del ADN, proteínas y enzimas y como influencian la enfermedad) Biotecnología relacionada con la salud
Scopus EID
2-s2.0-84937538762
Source
Applied Soft Computing Journal
ISSN of the container
15684946
Sponsor(s)
This research was funded by the Junta de Andalucia under project P07-TIC-02611 “Intelligent systems for discovering patterns of behavior. Application to biological database” and by the Spanish MEC under project TIN2011-28956-C02-01.
Sources of information: Directorio de Producción Científica Scopus