Concepts of artificial intelligence for computer-assisted drug discovery

X Yang, Y Wang, R Byrne, G Schneider… - Chemical …, 2019 - ACS Publications
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Nanotechnology for COVID-19: therapeutics and vaccine research

G Chauhan, MJ Madou, S Kalra, V Chopra, D Ghosh… - ACS …, 2020 - ACS Publications
The current global health threat by the novel coronavirus disease 2019 (COVID-19) requires
an urgent deployment of advanced therapeutic options available. The role of …

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, develo** drugs for central nervous system (CNS) disorders remains the most …

Recent advances in the prediction of pharmacokinetics properties in drug design studies: a review

SQ Pantaleão, PO Fernandes, JE Gonçalves… - …, 2022 - Wiley Online Library
This review presents the main aspects related to pharmacokinetic properties, which are
essential for the efficacy and safety of drugs. This topic is very important because the …

A general linear free energy relationship for predicting partition coefficients of neutral organic compounds

D Chen, Q Wang, Y Li, Y Li, H Zhou, Y Fan - Chemosphere, 2020 - Elsevier
Predicting the effects of organic compounds on environments and biological systems is an
important objective for environmental chemistry and human health. The logarithm (to base …

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

I Sushko, S Novotarskyi, R Körner, AK Pandey… - Journal of computer …, 2011 - Springer
Abstract The Online Chemical Modeling Environment is a web-based platform that aims to
automate and simplify the typical steps required for QSAR modeling. The platform consists of …

Virtual computational chemistry laboratory–design and description

IV Tetko, J Gasteiger, R Todeschini, A Mauri… - Journal of computer …, 2005 - Springer
Internet technology offers an excellent opportunity for the development of tools by the
cooperative effort of various groups and institutions. We have developed a multi-platform …

Quantitative correlation of physical and chemical properties with chemical structure: utility for prediction

AR Katritzky, M Kuanar, S Slavov, CD Hall… - Chemical …, 2010 - ACS Publications
All properties of organic moleculessphysical, chemical, biological, and
technologicalsdepend on their chemical structure and vary with it in a systematic way. The …

Calculation of molecular lipophilicity: State-of-the-art and comparison of log P methods on more than 96,000 compounds

R Mannhold, GI Poda, C Ostermann, IV Tetko - Journal of pharmaceutical …, 2009 - Elsevier
We first review the state-of-the-art in development of log P prediction approaches falling in
two major categories: substructure-based and property-based methods. Then, we compare …

Perfluoroalkyl sulfonic and carboxylic acids: A critical review of physicochemical properties, levels and patterns in waters and wastewaters, and treatment methods

S Rayne, K Forest - Journal of Environmental Science and Health …, 2009 - Taylor & Francis
Perfluorinated acids (PFAs) are an emerging class of environmental contaminants present in
various environmental and biological matrices. Two major PFA subclasses are the …