Past, present, and future perspectives on computer-aided drug design methodologies

D Bassani, S Moro - Molecules, 2023 - mdpi.com
The application of computational approaches in drug discovery has been consolidated in
the last decades. These families of techniques are usually grouped under the common …

Advancing Drug Safety in Drug Development: Bridging Computational Predictions for Enhanced Toxicity Prediction

AMB Amorim, LF Piochi, AT Gaspar… - Chemical Research …, 2024 - ACS Publications
The attrition rate of drugs in clinical trials is generally quite high, with estimates suggesting
that approximately 90% of drugs fail to make it through the process. The identification of …

Cheminformatic Read-Across Approach Revealed Ultraviolet Filter Cinoxate as an Obesogenic Peroxisome Proliferator-Activated Receptor γ Agonist

S An, IG Park, SY Hwang, J Gong, Y Lee… - Chemical Research …, 2024 - ACS Publications
This study introduces a novel cheminformatic read-across approach designed to identify
potential environmental obesogens, substances capable of disrupting metabolism and …

Quantitative Prediction of Toxicological Points of Departure Using Two-Stage Machine Learning Models: A New Approach Methodology (NAM) for Chemical Risk …

V Chandrasekar, S Mohammad… - Journal of Hazardous …, 2025 - Elsevier
Point of departure (POD) is a concept used in risk assessment to calculate the reference
dose of exposure that is likely to have no appreciable risk on health. POD can be directly …

[HTML][HTML] TMV-CP based rational design and discovery of α-Amide phosphate derivatives as anti plant viral agents

S Chen, Z Yang, W Sun, K Tian, P Sun, J Wu - Bioorganic Chemistry, 2024 - Elsevier
The tobacco mosaic virus coat protein (TMV-CP) is indispensable for the virus's replication,
movement and transmission, as well as for the host plant's immune system to recognize it. It …

Leveraging In Silico Structure–Activity Models to Predict Acute Honey Bee (Apis mellifera) Toxicity for Agrochemicals

M Sharifi, GP Harwood, M Harris… - Journal of Agricultural …, 2024 - ACS Publications
In the realm of crop protection products, ensuring the safety of pollinators stands as a pivotal
aspect of advancing sustainable solutions. Extensive research has been dedicated to this …

Bioactivity descriptors for in vivo toxicity prediction: now and the future

P Helmke, B Füzi, GF Ecker - Expert Opinion on Drug Metabolism & …, 2024 - Taylor & Francis
Development of a new drug currently takes 10-12 years with costs of around 2 billion EUR.
The two main reasons for failures comprise lack of efficacy and unforeseen toxicity. For the …

A deep learning based multi-model approach for predicting drug-like chemical compound's toxicity

KM Saravanan, JF Wan, L Dai, J Zhang, JZH Zhang… - Methods, 2024 - Elsevier
Ensuring the safety and efficacy of chemical compounds is crucial in small-molecule drug
development. In the later stages of drug development, toxic compounds pose a significant …

AI in Predictive Toxicology

B Yingngam - AI-Powered Advances in Pharmacology, 2025 - igi-global.com
The field of toxicology is undergoing a significant transformation due to the integration of
artificial intelligence (AI). In addition to traditional reliance on empirical studies and animal …

Chemistry and Technology Innovation to Advance Green and Sustainable Chemistry

P Prabhakaran, S Bhardwaj, B Chopra… - Sustainable Green …, 2024 - Wiley Online Library
The designing of chemicals and processes that minimize manufacturing of compounds that
are detrimental to people, plants, animals, and the environment is known as “green …