Natural product drug discovery in the artificial intelligence era

FI Saldívar-González, VD Aldas-Bulos… - Chemical …, 2022 - pubs.rsc.org
Natural products (NPs) are primarily recognized as privileged structures to interact with
protein drug targets. Their unique characteristics and structural diversity continue to marvel …

Machine learning for synergistic network pharmacology: a comprehensive overview

F Noor, M Asif, UA Ashfaq, M Qasim… - Briefings in …, 2023 - academic.oup.com
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …

Peptide-like and small-molecule inhibitors against Covid-19

S Pant, M Singh, V Ravichandiran… - Journal of …, 2021 - Taylor & Francis
Coronavirus disease strain (SARS-CoV-2) was discovered in 2019, and it is spreading very
fast around the world causing the disease Covid-19. Currently, more than 1.6 million …

Informatics for chemistry, biology, and biomedical sciences

E López-López, J Bajorath… - Journal of chemical …, 2020 - ACS Publications
Informatics is growing across disciplines, impacting several areas of chemistry, biology, and
biomedical sciences. Besides the well-established bioinformatics discipline, other …

Teaching an old dog new tricks: Drug discovery by repositioning natural products and their derivatives

B Huang, Y Zhang - Drug discovery today, 2022 - Elsevier
Highlights•Natural products show great promises in the drug repositioning campaign.•New
drug-disease associations are uncovered and discussed.•Pros and cons in natural product …

Exploring the new potential antiviral constituents of Moringa oliefera for SARS-COV-2 pathogenesis: An in silico molecular docking and dynamic studies

S Muhammad, SH Hassan, AG Al-Sehemi… - Chemical physics …, 2021 - Elsevier
The interactions of two crucial proteins of COVID-19 have been investigated with potential
antiviral compounds from Moringa oliefera using quantum chemical, molecular docking and …

Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning

M Mokaya, F Imrie, WP van Hoorn, A Kalisz… - Nature Machine …, 2023 - nature.com
Deep reinforcement learning methods have been shown to be potentially powerful tools for
de novo design. Recurrent-neural-network-based techniques are the most widely used …

Natural compounds for SIRT1‐mediated oxidative stress and neuroinflammation in stroke: a potential therapeutic target in the future

C Fang, H Xu, L Yuan, Z Zhu, X Wang… - Oxidative medicine …, 2022 - Wiley Online Library
Stroke is a fatal cerebral vascular disease with a high mortality rate and substantial
economic and social costs. ROS production and neuroinflammation have been implicated in …

[HTML][HTML] Nigella sativa L as a potential phytotherapy for coronavirus disease 2019: A mini review of in silico studies

AE Koshak, EA Koshak - Current Therapeutic Research, 2020 - Elsevier
Background Coronaviruses are responsible for several human diseases, such as the
infectious novel coronavirus disease 2019 (COVID-19), which is caused by severe acute …

Computational approaches for modeling and structural design of biological systems: A comprehensive review

E Gayathiri, P Prakash, P Kumaravel… - Progress in Biophysics …, 2023 - Elsevier
The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …