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) …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
making it essential to identify the contributions of individual cytochromes P450 to the total …
Validating ADME QSAR models using marketed drugs
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 …
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 …
stability is usually assessed in microsomal fractions and only the best compounds progress …