[HTML][HTML] A guide to in silico drug design

Y Chang, BA Hawkins, JJ Du, PW Groundwater… - Pharmaceutics, 2023 - mdpi.com
The drug discovery process is a rocky path that is full of challenges, with the result that very
few candidates progress from hit compound to a commercially available product, often due …

Machine and deep learning approaches for cancer drug repurposing

NT Issa, V Stathias, S Schürer… - Seminars in cancer …, 2021 - Elsevier
Abstract Knowledge of the underpinnings of cancer initiation, progression and metastasis
has increased exponentially in recent years. Advanced “omics” coupled with machine …

A molecular modeling approach to identify effective antiviral phytochemicals against the main protease of SARS-CoV-2

R Islam, MR Parves, AS Paul, N Uddin… - Journal of …, 2021 - Taylor & Francis
The main protease of SARS-CoV-2 is one of the important targets to design and develop
antiviral drugs. In this study, we have selected 40 antiviral phytochemicals to find out the …

Virtual screening, molecular dynamics and structure–activity relationship studies to identify potent approved drugs for Covid-19 treatment

MM Rahman, T Saha, KJ Islam, RH Suman… - Journal of …, 2021 - Taylor & Francis
Computer-aided drug screening by molecular docking, molecular dynamics (MD) and
structural–activity relationship (SAR) can offer an efficient approach to identify promising …

3D‐QSAR, molecular docking, molecular dynamics, and ADME/T analysis of marketed and newly designed flavonoids as inhibitors of Bcl‐2 family proteins for …

A Poustforoosh, S Faramarz… - Journal of Cellular …, 2022 - Wiley Online Library
Glioblastoma is the most common and destructive brain tumor with increasing complexity.
Flavonoids are versatile natural compounds with the approved anticancer activity, which …

Structure-based drug design strategies and challenges

X Wang, K Song, L Li, L Chen - Current Topics in Medicinal …, 2018 - ingentaconnect.com
Over the past ten years, the number of three-dimensional protein structures identified by
advanced science and technology increases, and the gene information becomes more …

Drug Repurposing to Identify Nilotinib as a Potential SARS-CoV-2 Main Protease Inhibitor: Insights from a Computational and In Vitro Study

S Banerjee, S Yadav, S Banerjee… - Journal of chemical …, 2021 - ACS Publications
COVID-19, an acute viral pneumonia, has emerged as a devastating pandemic. Drug
repurposing allows researchers to find different indications of FDA-approved or …

Virtual screening, Docking, ADMET and System Pharmacology studies on Garcinia caged Xanthone derivatives for Anticancer activity

S Alam, F Khan - Scientific reports, 2018 - nature.com
Caged xanthones are bioactive compounds mainly derived from the Garcinia genus. In this
study, a structure-activity relationship (SAR) of caged xanthones and their derivatives for …

Machine learning on DNA-encoded library count data using an uncertainty-aware probabilistic loss function

KS Lim, AG Reidenbach, BK Hua… - Journal of chemical …, 2022 - ACS Publications
DNA-encoded library (DEL) screening and quantitative structure–activity relationship
(QSAR) modeling are two techniques used in drug discovery to find novel small molecules …

3D-QSAR, Docking, ADME/Tox studies on Flavone analogs reveal anticancer activity through Tankyrase inhibition

S Alam, F Khan - Scientific reports, 2019 - nature.com
Flavones are known as an inhibitor of tankyrase, a potential drug target of cancer. We here
expedited the use of different computational approaches and presented a fast, easy, cost …