[HTML][HTML] QSAR-based virtual screening: advances and applications in drug discovery

BJ Neves, RC Braga, CC Melo-Filho… - Frontiers in …, 2018 - frontiersin.org
Virtual screening (VS) has emerged in drug discovery as a powerful computational
approach to screen large libraries of small molecules for new hits with desired properties …

Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling

L Zhao, HL Ciallella, LM Aleksunes, H Zhu - Drug discovery today, 2020 - Elsevier
Highlights•Drug discovery has been advanced to a big data era with a large amount of
public data sources available.•Ten V features (volume, velocity, variety, veracity, validity …

[PDF][PDF] Validation of the crystallography open database using the crystallographic information framework

A Vaitkus, A Merkys, S Gražulis - Journal of applied crystallography, 2021 - journals.iucr.org
Data curation practices of the Crystallography Open Database (COD) are described with
additional focus being placed on the formal validation using the Crystallographic Information …

[HTML][HTML] The CompTox Chemistry Dashboard: a community data resource for environmental chemistry

AJ Williams, CM Grulke, J Edwards… - Journal of …, 2017 - Springer
Despite an abundance of online databases providing access to chemical data, there is
increasing demand for high-quality, structure-curated, open data to meet the various needs …

ToxCast chemical landscape: paving the road to 21st century toxicology

AM Richard, RS Judson, KA Houck… - Chemical research in …, 2016 - ACS Publications
The US Environmental Protection Agency's (EPA) ToxCast program is testing a large library
of Agency-relevant chemicals using in vitro high-throughput screening (HTS) approaches to …

QSAR modeling: where have you been? Where are you going to?

A Cherkasov, EN Muratov, D Fourches… - Journal of medicinal …, 2014 - ACS Publications
Quantitative structure–activity relationship modeling is one of the major computational tools
employed in medicinal chemistry. However, throughout its entire history it has drawn both …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

CoMPARA: collaborative modeling project for androgen receptor activity

K Mansouri, N Kleinstreuer, AM Abdelaziz… - Environmental …, 2020 - ehp.niehs.nih.gov
Background: Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the
interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The …

[HTML][HTML] Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA

JR Sobus, JF Wambaugh, KK Isaacs… - Journal of exposure …, 2018 - nature.com
Tens-of-thousands of chemicals are registered in the US for use in countless processes and
products. Recent evidence suggests that many of these chemicals are measureable in …

[HTML][HTML] IVIVE: Facilitating the Use of In Vitro Toxicity Data in Risk Assessment and Decision Making

X Chang, YM Tan, DG Allen, S Bell, PC Brown… - Toxics, 2022 - mdpi.com
During the past few decades, the science of toxicology has been undergoing a
transformation from observational to predictive science. New approach methodologies …