[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 …
few candidates progress from hit compound to a commercially available product, often due …
Machine and deep learning approaches for cancer drug repurposing
Abstract Knowledge of the underpinnings of cancer initiation, progression and metastasis
has increased exponentially in recent years. Advanced “omics” coupled with machine …
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
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 …
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
Computer-aided drug screening by molecular docking, molecular dynamics (MD) and
structural–activity relationship (SAR) can offer an efficient approach to identify promising …
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 …
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 …
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
COVID-19, an acute viral pneumonia, has emerged as a devastating pandemic. Drug
repurposing allows researchers to find different indications of FDA-approved or …
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
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 …
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 …
(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
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 …
expedited the use of different computational approaches and presented a fast, easy, cost …