Ab initio protein structure prediction: methods and challenges

Jad Abbass; Jean Christophe Nebel; Nashat Mansour

doi:10.1002/9781118617151.ch32

Ab initio protein structure prediction: methods and challenges

Jad Abbass, Jean Christophe Nebel, Nashat Mansour

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Biological Knowledge Discovery Handbook
Subtitle of host publication	preprocessing, mining and postprocessing of biological data
Editors	Mourad Elloumi, Albert Y. Zomaya
Place of Publication	New Jersey, U.S.
Publisher	Wiley-Blackwell
Pages	703-724
ISBN (Print)	9781118132739
DOIs	https://doi.org/10.1002/9781118617151.ch32
Publication status	Published - Jan 2014

Publication series

Name	Bioinformatics: Computational Techniques and Engineering
Publisher	Wiley-Blackwell

Keywords

Biological sciences

Access to Document

10.1002/9781118617151.ch32

http://dx.doi.org/10.1002/9781118617151.ch32

Cite this

Abbass, J., Nebel, J. C., & Mansour, N. (2014). Ab initio protein structure prediction: methods and challenges. In M. Elloumi, & A. Y. Zomaya (Eds.), Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data (pp. 703-724). (Bioinformatics: Computational Techniques and Engineering). Wiley-Blackwell. https://doi.org/10.1002/9781118617151.ch32

Abbass, Jad ; Nebel, Jean Christophe ; Mansour, Nashat. / Ab initio protein structure prediction : methods and challenges. Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data. editor / Mourad Elloumi ; Albert Y. Zomaya. New Jersey, U.S. : Wiley-Blackwell, 2014. pp. 703-724 (Bioinformatics: Computational Techniques and Engineering).

@inbook{21647dd706264a5b9cb16e9b6c5ea3f6,

title = "Ab initio protein structure prediction: methods and challenges",

keywords = "Biological sciences",

author = "Jad Abbass and Nebel, \{Jean Christophe\} and Nashat Mansour",

year = "2014",

month = jan,

doi = "10.1002/9781118617151.ch32",

language = "English",

isbn = "9781118132739",

series = "Bioinformatics: Computational Techniques and Engineering",

publisher = "Wiley-Blackwell",

pages = "703--724",

editor = "Mourad Elloumi and Zomaya, \{Albert Y.\}",

booktitle = "Biological Knowledge Discovery Handbook",

address = "United States",

}

Abbass, J , Nebel, JC & Mansour, N 2014, Ab initio protein structure prediction: methods and challenges. in M Elloumi & AY Zomaya (eds), Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data. Bioinformatics: Computational Techniques and Engineering, Wiley-Blackwell, New Jersey, U.S., pp. 703-724. https://doi.org/10.1002/9781118617151.ch32

Ab initio protein structure prediction: methods and challenges. / Abbass, Jad ; Nebel, Jean Christophe; Mansour, Nashat.
Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data. ed. / Mourad Elloumi; Albert Y. Zomaya. New Jersey, U.S.: Wiley-Blackwell, 2014. p. 703-724 (Bioinformatics: Computational Techniques and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Ab initio protein structure prediction

T2 - methods and challenges

AU - Abbass, Jad

AU - Nebel, Jean Christophe

AU - Mansour, Nashat

PY - 2014/1

Y1 - 2014/1

KW - Biological sciences

U2 - 10.1002/9781118617151.ch32

DO - 10.1002/9781118617151.ch32

M3 - Chapter

SN - 9781118132739

T3 - Bioinformatics: Computational Techniques and Engineering

SP - 703

EP - 724

BT - Biological Knowledge Discovery Handbook

A2 - Elloumi, Mourad

A2 - Zomaya, Albert Y.

PB - Wiley-Blackwell

CY - New Jersey, U.S.

ER -

Abbass J , Nebel JC, Mansour N. Ab initio protein structure prediction: methods and challenges. In Elloumi M, Zomaya AY, editors, Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data. New Jersey, U.S.: Wiley-Blackwell. 2014. p. 703-724. (Bioinformatics: Computational Techniques and Engineering). doi: 10.1002/9781118617151.ch32