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SCIESCOPUS
3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Dynamics Simulations for the Identification of Spleen Tyrosine Kinase Inhibitorsopen access

Kumar, Vikas; Parate, Shraddha; Danishuddin; Zeb, Amir; Singh, Pooja; Lee, Gihwan; Jung, Tae Sung; Lee, Keun Woo; Ha, Min Woo

ArticleIssue Date2022CitationFrontiers in cellular and infection microbiology, v.12PublisherFrontiers Media S.A.
SCIESCOPUS
An attention mechanism-based LSTM network for cancer kinase activity prediction

Danishuddin; Kumar, V.; Lee, G.; Yoo, J.; Ro, H. S.; Lee, K. W.

ArticleIssue Date2022CitationSAR and QSAR in Environmental Research, v.33, no.8, pp 631 - 647PublisherTaylor & Francis
SCIESCOPUS
Computational Investigation Identified Potential Chemical Scaffolds for Heparanase as Anticancer Therapeuticsopen access

Parate, Shraddha; Kumar, Vikas; Danishuddin; Hong, Jong Chan; Lee, Keun Woo

ArticleIssue Date2021CitationINTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v.22, no.10PublisherMDPI
SCIESCOPUS
Development of Machine Learning Models for Accurately Predicting and Ranking the Activity of Lead Molecules to Inhibit PRC2 Dependent Canceropen access

Danishuddin; Kumar, Vikas; Parate, Shraddha; Bahuguna, Ashutosh; Lee, Gihwan; Kim, Myeong Ok; Lee, Keun Woo

ArticleIssue Date2021CitationPHARMACEUTICALS, v.14, no.7PublisherMDPI
SCIESCOPUS
Revolutionizing Drug Targeting Strategies: Integrating Artificial Intelligence and Structure-Based Methods in PROTAC Developmentopen access

Danishuddin; Jamal, Mohammad Sarwar; Song, Kyoung-Seob; Lee, Keun-Woo; Kim, Jong-Joo; Park, Yeong-Min

ArticleIssue Date2023CitationPharmaceuticals, v.16, no.12PublisherMultidisciplinary Digital Publishing Institute (MDPI)
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