[HTML][HTML] Recent advances in machine-learning-based chemoinformatics: a comprehensive review

SK Niazi, Z Mariam - International Journal of Molecular Sciences, 2023 - mdpi.com
In modern drug discovery, the combination of chemoinformatics and quantitative structure–
activity relationship (QSAR) modeling has emerged as a formidable alliance, enabling …

[HTML][HTML] Adoption of machine learning in pharmacometrics: an overview of recent implementations and their considerations

A Janssen, FC Bennis, RAA Mathôt - Pharmaceutics, 2022 - mdpi.com
Pharmacometrics is a multidisciplinary field utilizing mathematical models of physiology,
pharmacology, and disease to describe and quantify the interactions between medication …

Artificial Immune Cell, AI‐cell, a New Tool to Predict Interferon Production by Peripheral Blood Monocytes in Response to Nucleic Acid Nanoparticles

M Chandler, S Jain, J Halman, E Hong… - Small, 2022 - Wiley Online Library
Nucleic acid nanoparticles, or NANPs, rationally designed to communicate with the human
immune system, can offer innovative therapeutic strategies to overcome the limitations of …

A recent appraisal of artificial intelligence and in silico ADMET prediction in the early stages of drug discovery

A Kumar, SG Kini, E Rathi - Mini Reviews in Medicinal …, 2021 - ingentaconnect.com
In silico ADMET models have progressed significantly over the past~ 4 decades, but still, the
pharmaceutical industry is vexed by the late-stage toxicity failure of lead molecules. This …

Viral informatics: bioinformatics-based solution for managing viral infections

S Kumar, GS Kumar, SS Maitra, P Malý… - Briefings in …, 2022 - academic.oup.com
Several new viral infections have emerged in the human population and establishing as
global pandemics. With advancements in translation research, the scientific community has …

[HTML][HTML] Design methods for antimicrobial peptides with improved performance

J Mwangi, PM Kamau, RC Thuku, R Lai - Zoological Research, 2023 - ncbi.nlm.nih.gov
The recalcitrance of pathogens to traditional antibiotics has made treating and eradicating
bacterial infections more difficult. In this regard, developing new antimicrobial agents to …

[HTML][HTML] Intelligence prediction of some selected environmental issues of blasting: a review

BR Murlidhar, DJ Armaghani… - The Open …, 2020 -  …
Background: Blasting is commonly used for loosening hard rock during excavation for
generating the desired rock fragmentation required for optimizing the productivity of …

Bioinformatics and cheminformatics tools in early drug discovery

PK Parikh, JK Savjani, AK Gajjar… - Bioinformatics tools for …, 2023 - Wiley Online Library
Drug discovery is an important domain of research for chemical scientists and
pharmaceutical industries. However, this process encompasses several challenges of …

VAERHNN: Voting-averaged ensemble regression and hybrid neural network to investigate potent leads against colorectal cancer

G Chen, X Jiang, Q Lv, X Tan, Z Yang… - Knowledge-Based …, 2022 - Elsevier
In recent years, artificial intelligence (AI) has flourished in drug discovery and sped up the
process of drug research and development. Recently, it has been demonstrated that the …

In silico models for genotoxicity and drug regulation

R Benigni, A Bassan, M Pavan - Expert Opinion on Drug …, 2020 - Taylor & Francis
Introduction Whereas in the past,(Q) SAR methods have been largely used to support the
design of new drugs, in the last few decades, there has been a new interest in its …