Antifungal agents in agriculture: Friends and foes of public health

VS Brauer, CP Rezende, AM Pessoni, RG De Paula… - Biomolecules, 2019 - mdpi.com
Fungal diseases have been underestimated worldwide but constitute a substantial threat to
several plant and animal species as well as to public health. The increase in the global …

Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries

C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Activity cliffs in drug discovery: Dr Jekyll or Mr Hyde?

M Cruz-Monteagudo, JL Medina-Franco… - Drug Discovery …, 2014 - Elsevier
Highlights•We provide a critical review of the current state of the activity cliff research.•We
comment on and integrate the opinions of experts working on activity cliffs.•The negative …

Artificial intelligence: Machine learning approach for screening large database and drug discovery

PP Parvatikar, S Patil, K Khaparkhuntikar, S Patil… - Antiviral Research, 2023 - Elsevier
Recent research in drug discovery dealing with many faces difficulties, including
development of new drugs during disease outbreak and drug resistance due to rapidly …

Multi-objective optimization methods in novel drug design

G Lambrinidis, A Tsantili-Kakoulidou - Expert Opinion on Drug …, 2021 - Taylor & Francis
Introduction: In multi-objective drug design, optimization gains importance, being upgraded
to a discipline that attracts its own research. Current strategies are broadly classified into …

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 …

Latest advances in molecular topology applications for drug discovery

R Zanni, M Galvez-Llompart… - Expert opinion on …, 2015 - Taylor & Francis
Introduction: Molecular topology (MT) has emerged in recent years as a powerful approach
for the in silico generation of new drugs. In the last decade, its application has become more …

Applications of in silico models to predict drug-induced liver injury

J Lin, M Li, W Mak, Y Shi, X Zhu, Z Tang, Q He, X Xiang - Toxics, 2022 - mdpi.com
Drug-induced liver injury (DILI) is a major cause of the withdrawal of pre-marketed drugs,
typically attributed to oxidative stress, mitochondrial damage, disrupted bile acid …

Identification of potential extracellular signal-regulated protein kinase 2 inhibitors based on multiple virtual screening strategies

R Yang, G Zhao, L Zhang, Y Xia, H Yu, B Yan… - Frontiers in …, 2022 - frontiersin.org
The integration of multiple virtual screening strategies facilitates the balance of
computational efficiency and prediction accuracy. In this study, we constructed an efficient …

Genetic programming applications in chemical sciences and engineering

R Vyas, P Goel, SS Tambe - Handbook of genetic programming …, 2015 - Springer
Abstract Genetic programming (GP)(Koza, Genetic programming: a paradigm for genetically
breeding populations of computer programs to solve problems, Stanford University …