An overview of machine learning and big data for drug toxicity evaluation

AH Vo, TR Van Vleet, RR Gupta… - Chemical research in …, 2019 - ACS Publications
Drug toxicity evaluation is an essential process of drug development as it is reportedly
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …

Development of quantitative structure activity relationship (QSAR) model for disinfection byproduct (DBP) research: A review of methods and resources

B Chen, T Zhang, T Bond, Y Gan - Journal of hazardous materials, 2015 - Elsevier
Quantitative structure–activity relationship (QSAR) models are tools for linking chemical
activities with molecular structures and compositions. Due to the concern about the …

VAE-Sim: a novel molecular similarity measure based on a variational autoencoder

S Samanta, S O'Hagan, N Swainston, TJ Roberts… - Molecules, 2020 - mdpi.com
Molecular similarity is an elusive but core “unsupervised” cheminformatics concept, yet
different “fingerprint” encodings of molecular structures return very different similarity values …

A Systematic Review on Intensifications of Artificial Intelligence Assisted Green Solvent Development

H Wen, S Nan, D Wu, Q Sun, Y Tong… - Industrial & …, 2023 - ACS Publications
Solvents are indispensable components of chemical processes, and the application of
ecofriendly, safe, and efficient solvents is vital for building green chemical processes …

The in silico drug discovery toolbox: applications in lead discovery and optimization

A Bruno, G Costantino, L Sartori… - Current Medicinal …, 2019 - ingentaconnect.com
Background: Discovery and development of a new drug is a long lasting and expensive
journey that takes around 20 years from starting idea to approval and marketing of new …

[HTML][HTML] A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals

K Acharya, D Werner, J Dolfing, M Barycki, P Meynet… - Water research, 2019 - Elsevier
The objective of this work was to develop a QSBR model for the prioritization of organic
pollutants based on biodegradation rates from a database containing globally harmonized …

Internet resources for drug discovery and design

V Potemkin, A Potemkin… - Current Topics in …, 2018 - ingentaconnect.com
The review describes online resources used for drug discovery and design. Internet
resources can be classified into two classes. The first class of resources accumulates …

Role of ADMET tools in current scenario: application and limitations

RK Kesharwani, VK Vishwakarma… - Computer-Aided Drug …, 2020 - Springer
High rates of drug failure cases are a challenge for the pharmaceutical industry to improve
preclinical testing. For the ADMET prediction, selection of suitable experimental data and its …

Structures of nitroaromatic compounds induce Shewanella oneidensis MR-1 to adopt different electron transport pathways to reduce the contaminants

H Wang, HP Zhao, L Zhu - Journal of hazardous materials, 2020 - Elsevier
Nitroaromatic compounds (NACs) are one class of typical refractory biodegradable organic
pollutants detected in various environmental media. The reductive transformation of NACs …

Interplay between sniffing and odorant sorptive properties in the rat

D Rojas-Líbano, LM Kay - Journal of Neuroscience, 2012 - Soc Neuroscience
For decades it has been known that the olfactory sensory epithelium can act like a
chromatograph, separating odorants based on their air–mucus sorptive properties. It has …