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 ◽

Author(s):

Serdar Durdagi ◽

Ismail Erol ◽

Berna Dogan ◽

Taha Berkay Sen

Keyword(s):

Text Mining ◽

Qsar Models ◽

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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 ◽

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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 ◽

Author(s):

G. Cerruela García ◽

J. Pérez-Parras Toledano ◽

A. de Haro García ◽

N. García-Pedrajas

Keyword(s):

Qsar Models ◽

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QSAR models for predicting cathepsin B inhibition by small molecules—Continuous and binary QSAR models to classify cathepsin B inhibition activities of small molecules

Journal of Molecular Graphics and Modelling ◽

10.1016/j.jmgm.2010.01.009 ◽

2010 ◽

Vol 28 (8) ◽

pp. 714-727 ◽

Author(s):

Zhigang Zhou ◽

Yanli Wang ◽

Stephen H. Bryant

Keyword(s):

Small Molecules ◽

Cathepsin B ◽

Qsar Models ◽

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Proposing Novel MAO-B Hit Inhibitors Using Multidimensional Molecular Modeling Approaches and Application of Binary QSAR Models for Prediction of Their Therapeutic Activity, Pharmacokinetic and Toxicity Properties

ACS Chemical Neuroscience ◽

10.1021/acschemneuro.8b00095 ◽

2018 ◽

Vol 9 (7) ◽

pp. 1768-1782 ◽

Author(s):

Yusuf Serhat Is ◽

Serdar Durdagi ◽

Busecan Aksoydan ◽

Mine Yurtsever

Keyword(s):

Molecular Modeling ◽

Therapeutic Activity ◽

Mao B ◽

Modeling Approaches ◽

Qsar Models ◽

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Evaluation of Binary QSAR Models Derived from LUDI and MOE Scoring Functions for Structure Based Virtual Screening

Journal of Chemical Information and Modeling ◽

10.1021/ci050120w ◽

2006 ◽

Vol 46 (1) ◽

pp. 39-51 ◽

Author(s):

Philip Prathipati ◽

Anil K. Saxena

Keyword(s):

Virtual Screening ◽

Scoring Functions ◽

Qsar Models ◽

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Combinatorial peptide library screening for discovery of diverse α-glucosidase inhibitors using molecular dynamics simulations and binary QSAR models

Journal of Biomolecular Structure and Dynamics ◽

10.1080/07391102.2018.1439403 ◽

2018 ◽

Vol 37 (3) ◽

pp. 726-740 ◽

Author(s):

Adriano Mollica ◽

Gokhan Zengin ◽

Serdar Durdagi ◽

Ramin Ekhteiari Salmas ◽

Giorgia Macedonio ◽

...

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulations ◽

Peptide Library ◽

Library Screening ◽

Glucosidase Inhibitors ◽

Combinatorial Peptide Library ◽

Qsar Models ◽

Dynamics Simulations ◽

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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 ◽

Author(s):

Tarek Kanan ◽

Duaa Kanan ◽

Ismail Erol ◽

Samira Yazdi ◽

Matthias Stein ◽

...

Keyword(s):

Virtual Screening ◽

Qsar Models ◽

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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 ◽

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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Supplemental Material for Measuring Divergent Thinking Originality With Human Raters and Text-Mining Models: A Psychometric Comparison of Methods

Psychology of Aesthetics Creativity and the Arts ◽

10.1037/aca0000319.supp ◽

2020 ◽

Keyword(s):

Text Mining ◽

Divergent Thinking ◽

Comparison Of Methods

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Science and technology text mining:: Text Mining of the Journal Cortex

PsycEXTRA Dataset ◽

10.1037/e425832005-001 ◽

2013 ◽

Author(s):

Ronald N. Kostoff ◽

◽

Henry A. Buchtel ◽

John Andrews ◽

Kirstin M. Pfiel

Keyword(s):

Text Mining ◽

Science And Technology

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