binary qsar Latest Research Papers

Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

10.33774/chemrxiv-2021-74mkk ◽

2021 ◽

Author(s):

Serdar Durdagi ◽

Lalehan Oktay ◽

Ece Erdemoglu ◽

Ilayda Tolu ◽

Yesim Yumak ◽

...

Keyword(s):

Virtual Screening ◽

Clinical Investigation ◽

Main Protease ◽

Approved Drugs ◽

Fda Approved Drugs ◽

Binary Qsar

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Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

TURKISH JOURNAL OF BIOLOGY ◽

10.3906/biy-2106-61 ◽

2021 ◽

Keyword(s):

Virtual Screening ◽

Clinical Investigation ◽

Main Protease ◽

Approved Drugs ◽

Fda Approved Drugs ◽

Binary Qsar

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Drug Re‐Positioning Studies for Novel HIV‐1 Inhibitors Using Binary QSAR Models and Multi‐Target‐Driven In Silico Studies

Molecular Informatics ◽

10.1002/minf.202000012 ◽

2020 ◽

Author(s):

Berna Dogan ◽

Serdar Durdagi

Keyword(s):

In Silico ◽

In Silico Studies ◽

Qsar Models ◽

Binary Qsar ◽

Hiv 1

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Integrated Binary QSAR-Driven Virtual Screening and In Vitro Studies for Finding Novel hMAO-B-Selective Inhibitors

Journal of Chemical Information and Modeling ◽

10.1021/acs.jcim.0c00169 ◽

2020 ◽

Vol 60 (8) ◽

pp. 4047-4055

Author(s):

Yusuf Serhat Is ◽

Busecan Aksoydan ◽

Murat Senturk ◽

Mine Yurtsever ◽

Serdar Durdagi

Keyword(s):

Virtual Screening ◽

In Vitro Studies ◽

Selective Inhibitors ◽

Binary Qsar

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Filter feature selectors in the development of binary QSAR models

SAR and QSAR in Environmental Research ◽

10.1080/1062936x.2019.1588160 ◽

2019 ◽

Vol 30 (5) ◽

pp. 313-345 ◽

Cited By ~ 5

Author(s):

G. Cerruela García ◽

J. Pérez-Parras Toledano ◽

A. de Haro García ◽

N. García-Pedrajas

Keyword(s):

Qsar Models ◽

Binary Qsar

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Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds

Biophysical Journal ◽

10.1016/j.bpj.2018.11.2583 ◽

2019 ◽

Vol 116 (3) ◽

pp. 478a ◽

Cited By ~ 1

Author(s):

Serdar Durdagi ◽

Ismail Erol ◽

Berna Dogan ◽

Taha Berkay Sen

Keyword(s):

Text Mining ◽

Qsar Models ◽

Binary Qsar

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Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models

Journal of Molecular Graphics and Modelling ◽

10.1016/j.jmgm.2018.09.014 ◽

2019 ◽

Vol 86 ◽

pp. 264-277 ◽

Cited By ~ 12

Author(s):

Tarek Kanan ◽

Duaa Kanan ◽

Ismail Erol ◽

Samira Yazdi ◽

Matthias Stein ◽

...

Keyword(s):

Virtual Screening ◽

Qsar Models ◽

Binary Qsar

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Novel tumor necrosis factor-α (TNF-α) inhibitors from small molecule library screening for their therapeutic activity profiles against rheumatoid arthritis using target-driven approaches and binary QSAR models

Journal of Biomolecular Structure and Dynamics ◽

10.1080/07391102.2018.1491423 ◽

2018 ◽

Vol 37 (9) ◽

pp. 2464-2476 ◽

Cited By ~ 6

Author(s):

Mehreen Zaka ◽

Bilal Haider Abbasi ◽

Serdar Durdagi

Keyword(s):

Tumor Necrosis ◽

Tumor Necrosis Factor Α ◽

Library Screening ◽

Therapeutic Activity ◽

Tnf Α ◽

Small Molecule Library ◽

Qsar Models ◽

Factor Α ◽

Binary Qsar ◽

Necrosis Factor

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Proposing novel TNFα direct inhibitor Scaffolds using fragment-docking based e-pharmacophore modeling and binary QSAR-based virtual screening protocols pipeline

Journal of Molecular Graphics and Modelling ◽

10.1016/j.jmgm.2018.07.007 ◽

2018 ◽

Vol 85 ◽

pp. 111-121 ◽

Cited By ~ 4

Author(s):

Mehreen Zaka ◽

Bilal Haider Abbasi ◽

Serdar Durdagi

Keyword(s):

Virtual Screening ◽

Pharmacophore Modeling ◽

Binary Qsar ◽

Fragment Docking ◽

Inhibitor Scaffolds

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A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine

SAR and QSAR in Environmental Research ◽

10.1080/1062936x.2018.1491414 ◽

2018 ◽

Vol 29 (7) ◽

pp. 517-527 ◽

Cited By ~ 7

Author(s):

M.K. Qasim ◽

Z.Y. Algamal ◽

H.T. Mohammad Ali

Keyword(s):

Support Vector Machine ◽

Influenza A ◽

Qsar Model ◽

Support Vector ◽

Neuraminidase Inhibitors ◽

Influenza A Viruses ◽

Binary Qsar

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binary qsar
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

Drug Re‐Positioning Studies for Novel HIV‐1 Inhibitors Using Binary QSAR Models and Multi‐Target‐Driven In Silico Studies

Integrated Binary QSAR-Driven Virtual Screening and In Vitro Studies for Finding Novel hMAO-B-Selective Inhibitors

Filter feature selectors in the development of binary QSAR models

Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds

Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models

Novel tumor necrosis factor-α (TNF-α) inhibitors from small molecule library screening for their therapeutic activity profiles against rheumatoid arthritis using target-driven approaches and binary QSAR models

Proposing novel TNFα direct inhibitor Scaffolds using fragment-docking based e-pharmacophore modeling and binary QSAR-based virtual screening protocols pipeline

A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine

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binary qsarRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

Binary-QSAR guided virtual screening of FDA approved drugs and compounds in clinical investigation against SARS-CoV-2 main protease

Drug Re‐Positioning Studies for Novel HIV‐1 Inhibitors Using Binary QSAR Models and Multi‐Target‐Driven In Silico Studies

Integrated Binary QSAR-Driven Virtual Screening and In Vitro Studies for Finding Novel hMAO-B-Selective Inhibitors

Filter feature selectors in the development of binary QSAR models

Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds

Targeting the NF-κB/IκBα complex via fragment-based E-Pharmacophore virtual screening and binary QSAR models

Novel tumor necrosis factor-α (TNF-α) inhibitors from small molecule library screening for their therapeutic activity profiles against rheumatoid arthritis using target-driven approaches and binary QSAR models

Proposing novel TNFα direct inhibitor Scaffolds using fragment-docking based e-pharmacophore modeling and binary QSAR-based virtual screening protocols pipeline

A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machine

binary qsar
Recently Published Documents