Methods to improve ranking chemical structures in ligand-based virtual screening

Mohammed Mumtaz Al-Dabbagh; Naomie Salim; Faisal Saeed

doi:10.1007/978-3-030-33582-3_25

Methods to improve ranking chemical structures in ligand-based virtual screening

Mohammed Mumtaz Al-Dabbagh^*, Naomie Salim, Faisal Saeed

^*Corresponding author for this work

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

Original language	English
Title of host publication	Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing
Editors	Faisal Saeed, Fathey Mohammed, Nadhmi Gazem
Publisher	Springer
Pages	259-269
Number of pages	11
ISBN (Print)	9783030335816
DOIs	https://doi.org/10.1007/978-3-030-33582-3_25
Publication status	Published (VoR) - 2020
Event	4th International Conference of Reliable Information and Communication Technology, IRICT 2019 - Johor Bahru, Malaysia Duration: 22 Sept 2019 → 23 Sept 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1073
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Conference of Reliable Information and Communication Technology, IRICT 2019
Country/Territory	Malaysia
City	Johor Bahru
Period	22/09/19 → 23/09/19

Keywords

Alternative ranking techniques
Ligand-based
Marching learning techniques
Molecular ranking
Ranking chemical compounds
Virtual screening

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10.1007/978-3-030-33582-3_25

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Al-Dabbagh, M. M., Salim, N., & Saeed, F. (2020). Methods to improve ranking chemical structures in ligand-based virtual screening. In F. Saeed, F. Mohammed, & N. Gazem (Eds.), Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing (pp. 259-269). (Advances in Intelligent Systems and Computing; Vol. 1073). Springer. https://doi.org/10.1007/978-3-030-33582-3_25

Al-Dabbagh, Mohammed Mumtaz ; Salim, Naomie ; Saeed, Faisal. / Methods to improve ranking chemical structures in ligand-based virtual screening. Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. editor / Faisal Saeed ; Fathey Mohammed ; Nadhmi Gazem. Springer, 2020. pp. 259-269 (Advances in Intelligent Systems and Computing).

@inproceedings{4c05d951542547a6a4ab8a8339aad384,

title = "Methods to improve ranking chemical structures in ligand-based virtual screening",

keywords = "Alternative ranking techniques, Ligand-based, Marching learning techniques, Molecular ranking, Ranking chemical compounds, Virtual screening",

author = "Al-Dabbagh, {Mohammed Mumtaz} and Naomie Salim and Faisal Saeed",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 4th International Conference of Reliable Information and Communication Technology, IRICT 2019 ; Conference date: 22-09-2019 Through 23-09-2019",

year = "2020",

doi = "10.1007/978-3-030-33582-3_25",

language = "English",

isbn = "9783030335816",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "259--269",

editor = "Faisal Saeed and Fathey Mohammed and Nadhmi Gazem",

booktitle = "Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing",

}

Al-Dabbagh, MM, Salim, N & Saeed, F 2020, Methods to improve ranking chemical structures in ligand-based virtual screening. in F Saeed, F Mohammed & N Gazem (eds), Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. Advances in Intelligent Systems and Computing, vol. 1073, Springer, pp. 259-269, 4th International Conference of Reliable Information and Communication Technology, IRICT 2019, Johor Bahru, Malaysia, 22/09/19. https://doi.org/10.1007/978-3-030-33582-3_25

Methods to improve ranking chemical structures in ligand-based virtual screening. / Al-Dabbagh, Mohammed Mumtaz; Salim, Naomie; Saeed, Faisal.
Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. ed. / Faisal Saeed; Fathey Mohammed; Nadhmi Gazem. Springer, 2020. p. 259-269 (Advances in Intelligent Systems and Computing; Vol. 1073).

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

TY - GEN

T1 - Methods to improve ranking chemical structures in ligand-based virtual screening

AU - Al-Dabbagh, Mohammed Mumtaz

AU - Salim, Naomie

AU - Saeed, Faisal

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

KW - Alternative ranking techniques

KW - Ligand-based

KW - Marching learning techniques

KW - Molecular ranking

KW - Ranking chemical compounds

KW - Virtual screening

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U2 - 10.1007/978-3-030-33582-3_25

DO - 10.1007/978-3-030-33582-3_25

M3 - Conference contribution

AN - SCOPUS:85077770946

SN - 9783030335816

T3 - Advances in Intelligent Systems and Computing

SP - 259

EP - 269

BT - Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing

A2 - Saeed, Faisal

A2 - Mohammed, Fathey

A2 - Gazem, Nadhmi

PB - Springer

T2 - 4th International Conference of Reliable Information and Communication Technology, IRICT 2019

Y2 - 22 September 2019 through 23 September 2019

ER -

Al-Dabbagh MM, Salim N, Saeed F. Methods to improve ranking chemical structures in ligand-based virtual screening. In Saeed F, Mohammed F, Gazem N, editors, Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. Springer. 2020. p. 259-269. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-33582-3_25

Methods to improve ranking chemical structures in ligand-based virtual screening

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