Computer-aided prediction of biological activity spectra for organic compounds: The possibilities and limitations

VV Poroikov, DA Filimonov, TA Gloriozova… - Russian Chemical …, 2019 - Springer
We describe the current version of the PASS program for prediction of biological activity
spectra of organic compounds based on analysis of structure—activity relationships (SAR) …

Advancing the science of a read-across framework for evaluation of data-poor chemicals incorporating systematic and new approach methods

LE Lizarraga, GW Suter, JC Lambert… - Regulatory Toxicology …, 2023 - Elsevier
The assessment of human health hazards posed by chemicals traditionally relies on toxicity
studies in experimental animals. However, most chemicals currently in commerce do not …

Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitors

D Lagorce, D Douguet, MA Miteva, BO Villoutreix - Scientific reports, 2017 - nature.com
The modulation of PPIs by low molecular weight chemical compounds, particularly by orally
bioavailable molecules, would be very valuable in numerous disease indications. However …

QSAR modeling of imbalanced high-throughput screening data in PubChem

AV Zakharov, ML Peach, M Sitzmann… - Journal of chemical …, 2014 - ACS Publications
Many of the structures in PubChem are annotated with activities determined in high-
throughput screening (HTS) assays. Because of the nature of these assays, the activity data …

In silico prediction of human and rat liver microsomal stability via machine learning methods

L Li, Z Lu, G Liu, Y Tang, W Li - Chemical Research in Toxicology, 2022 - ACS Publications
Liver microsomal stability is an important property considered for the screening of drug
candidates in the early stage of drug development. Determination of hepatic metabolic …

Programmable nucleic acid based polygons with controlled neuroimmunomodulatory properties for predictive QSAR modeling

MB Johnson, JR Halman, E Satterwhite… - Therapeutic RNA …, 2021 - taylorfrancis.com
886In the past few years, the study of therapeutic RNA nanotechnology has expanded
tremendously to encompass a large group of interdisciplinary sciences. It is now evident that …

Qsar modeling and prediction of drug–drug interactions

AV Zakharov, EV Varlamova, AA Lagunin… - Molecular …, 2016 - ACS Publications
Severe adverse drug reactions (ADRs) are the fourth leading cause of fatality in the US with
more than 100 000 deaths per year. As up to 30% of all ADRs are believed to be caused by …

Development of robust quantitative structure-activity relationship models for CYP2C9, CYP2D6, and CYP3A4 catalysis and inhibition

E Gonzalez, S Jain, P Shah, N Torimoto-Katori… - Drug Metabolism and …, 2021 - ASPET
Cytochrome P450 enzymes are responsible for the metabolism of> 75% of marketed drugs,
making it essential to identify the contributions of individual cytochromes P450 to the total …

Validating ADME QSAR models using marketed drugs

V Siramshetty, J Williams, ÐT Nguyễn… - … the Science of Drug …, 2021 - journals.sagepub.com
Problems with drug ADME are responsible for many clinical failures. By understanding the
ADME properties of marketed drugs and modeling how chemical structure contributes to …

Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models

VB Siramshetty, P Shah, E Kerns, K Nguyen, KR Yu… - Scientific reports, 2020 - nature.com
Hepatic metabolic stability is a key pharmacokinetic parameter in drug discovery. Metabolic
stability is usually assessed in microsomal fractions and only the best compounds progress …