Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition

Zia-ur Rehman; Muhammad Tayyeb Mirza; Asifullah Khan; Henri Xhaard

doi:10.1016/B978-0-12-407865-9.00004-2

Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition

Zia-ur Rehman, Muhammad Tayyeb Mirza, Asifullah Khan, Henri Xhaard

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific

Original language	English
Title of host publication	G Protein coupled receptors : modeling, activation, interactions and virtual screening
Editors	PM Conn
Number of pages	19
Place of Publication	Amsterdam
Publisher	Elsevier Academic Press
Publication date	2013
Pages	61-79
ISBN (Print)	978-0-12-407865-9
DOIs	https://doi.org/10.1016/B978-0-12-407865-9.00004-2
Publication status	Published - 2013
MoE publication type	B2 Book chapter

Publication series

Name	Methods in enzymology
Publisher	Elsevier Academic Press
Volume	522
ISSN (Print)	0076-6879

Fields of Science

TRANSMEMBRANE DOMAIN RECEPTORS
SUPPORT VECTOR MACHINES
NEURAL-NETWORKS
CLASSIFICATION
REPERTOIRE
TRANSFORM
EVOLUTION
MODEL
1182 Biochemistry, cell and molecular biology

Access to Document

10.1016/B978-0-12-407865-9.00004-2

Cite this

Rehman, Z., Mirza, M. T., Khan, A., & Xhaard, H. (2013). Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition. In PM. Conn (Ed.), G Protein coupled receptors : modeling, activation, interactions and virtual screening (pp. 61-79). (Methods in enzymology; Vol. 522). Elsevier Academic Press. https://doi.org/10.1016/B978-0-12-407865-9.00004-2

Rehman, Zia-ur ; Mirza, Muhammad Tayyeb ; Khan, Asifullah et al. / Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition. G Protein coupled receptors : modeling, activation, interactions and virtual screening. editor / PM Conn. Amsterdam : Elsevier Academic Press, 2013. pp. 61-79 (Methods in enzymology).

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title = "Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition",

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author = "Zia-ur Rehman and Mirza, {Muhammad Tayyeb} and Asifullah Khan and Henri Xhaard",

year = "2013",

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Rehman, Z, Mirza, MT, Khan, A & Xhaard, H 2013, Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition. in PM Conn (ed.), G Protein coupled receptors : modeling, activation, interactions and virtual screening. Methods in enzymology, vol. 522, Elsevier Academic Press, Amsterdam, pp. 61-79. https://doi.org/10.1016/B978-0-12-407865-9.00004-2

Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition. / Rehman, Zia-ur; Mirza, Muhammad Tayyeb; Khan, Asifullah et al.
G Protein coupled receptors : modeling, activation, interactions and virtual screening. ed. / PM Conn. Amsterdam: Elsevier Academic Press, 2013. p. 61-79 (Methods in enzymology; Vol. 522).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific

TY - CHAP

T1 - Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition

AU - Rehman, Zia-ur

AU - Mirza, Muhammad Tayyeb

AU - Khan, Asifullah

AU - Xhaard, Henri

PY - 2013

Y1 - 2013

KW - TRANSMEMBRANE DOMAIN RECEPTORS

KW - SUPPORT VECTOR MACHINES

KW - NEURAL-NETWORKS

KW - CLASSIFICATION

KW - REPERTOIRE

KW - TRANSFORM

KW - EVOLUTION

KW - MODEL

KW - 1182 Biochemistry, cell and molecular biology

U2 - 10.1016/B978-0-12-407865-9.00004-2

DO - 10.1016/B978-0-12-407865-9.00004-2

M3 - Chapter

SN - 978-0-12-407865-9

T3 - Methods in enzymology

SP - 61

EP - 79

BT - G Protein coupled receptors

A2 - Conn, PM

PB - Elsevier Academic Press

CY - Amsterdam

ER -

Rehman Z, Mirza MT, Khan A, Xhaard H. Predicting G-Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition. In Conn PM, editor, G Protein coupled receptors : modeling, activation, interactions and virtual screening. Amsterdam: Elsevier Academic Press. 2013. p. 61-79. (Methods in enzymology). doi: 10.1016/B978-0-12-407865-9.00004-2