Towards reproducible computational drug discovery

N Schaduangrat, S Lampa, S Simeon… - Journal of …, 2020 - Springer
The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …

Artificial intelligence: the milestone in modern biomedical research

K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

The BioGRID interaction database: 2019 update

R Oughtred, C Stark, BJ Breitkreutz, J Rust… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the curation and archival …

ChEMBL: towards direct deposition of bioassay data

D Mendez, A Gaulton, AP Bento… - Nucleic acids …, 2019 - academic.oup.com
ChEMBL is a large, open-access bioactivity database (https://www. ebi. ac. uk/chembl),
previously described in the 2012, 2014 and 2017 Nucleic Acids Research Database Issues …

Identification of new rofecoxib-based cyclooxygenase-2 inhibitors: A bioinformatics approach

RP Leão, JV Cruz, GV da Costa, JN Cruz… - Pharmaceuticals, 2020 - mdpi.com
The cyclooxygenase-2 receptor is a therapeutic target for planning potential drugs with anti-
inflammatory activity. The selective cyclooxygenase-2 (COX-2) inhibitor rofecoxib was …

Efficient analysis of toxicity and mechanisms of environmental pollutants with network toxicology and molecular docking strategy: Acetyl tributyl citrate as an example

S Huang - Science of The Total Environment, 2023 - Elsevier
The study aims to promote network toxicology strategy to efficiently investigate the putative
toxicity and underlying molecular mechanisms of environmental pollutants through an …

Identifying differences in the performance of machine learning models for off-targets trained on publicly available and proprietary data sets

A Smajić, I Rami, S Sosnin… - Chemical Research in …, 2023 - ACS Publications
Each year, publicly available databases are updated with new compounds from different
research institutions. Positive experimental outcomes are more likely to be reported; …

Teaching and learning computational drug design: student investigations of 3D quantitative structure–activity relationships through web applications

R Ragno, V Esposito, M Di Mario… - Journal of chemical …, 2020 - ACS Publications
The increasing use of information technology in the discovery of new molecular entities
encourages the use of modern molecular-modeling tools to help teach important concepts of …

Network pharmacology reveals multitarget mechanism of action of drugs to be repurposed for COVID-19

M Alegría-Arcos, T Barbosa, F Sepúlveda… - Frontiers in …, 2022 - frontiersin.org
The coronavirus disease 2019 pandemic accelerated drug/vaccine development processes,
integrating scientists all over the globe to create therapeutic alternatives against this virus. In …

beHEALTHIER: A microservices platform for analyzing and exploiting healthcare data

A Mavrogiorgou, S Kleftakis… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
The era of big data is surrounded by plenty of challenges, concerning aspects related to
data quality, data management, and data analysis. Plenty of these challenges are met in …