Natural products targeting strategies involving molecular networking: different manners, one goal

AEF Ramos, L Evanno, E Poupon, P Champy… - Natural product …, 2019 - pubs.rsc.org
Covering: up to 2019 Landmark advances in bioinformatics tools have recently enhanced
the field of natural products research, putting today's natural product chemists in the …

Building a virtual ligand screening pipeline using free software: a survey

E Glaab - Briefings in bioinformatics, 2016 - academic.oup.com
Virtual screening, the search for bioactive compounds via computational methods, provides
a wide range of opportunities to speed up drug development and reduce the associated …

The Chemistry Development Kit (CDK) v2. 0: atom typing, depiction, molecular formulas, and substructure searching

EL Willighagen, JW Mayfield, J Alvarsson… - Journal of …, 2017 - Springer
Abstract Background The Chemistry Development Kit (CDK) is a widely used open source
cheminformatics toolkit, providing data structures to represent chemical concepts along with …

PyBioMed: a python library for various molecular representations of chemicals, proteins and DNAs and their interactions

J Dong, ZJ Yao, L Zhang, F Luo, Q Lin, AP Lu… - Journal of …, 2018 - Springer
Background With the increasing development of biotechnology and informatics technology,
publicly available data in chemistry and biology are undergoing explosive growth. Such …

Mechanism-of-action classification of antibiotics by global transcriptome profiling

A O'Rourke, S Beyhan, Y Choi, P Morales… - Antimicrobial agents …, 2020 - Am Soc Microbiol
Antimicrobial resistance (AMR) is an ever-growing public health problem worldwide. The
low rate of antibiotic discovery coupled with the rapid spread of drug-resistant bacterial …

OpenChrom: a cross-platform open source software for the mass spectrometric analysis of chromatographic data

P Wenig, J Odermatt - BMC bioinformatics, 2010 - Springer
Background Today, data evaluation has become a bottleneck in chromatographic science.
Analytical instruments equipped with automated samplers yield large amounts of …

Novel computational approach to predict off-target interactions for small molecules

MS Rao, R Gupta, MJ Liguori, M Hu, X Huang… - Frontiers in big …, 2019 - frontiersin.org
Most small molecule drugs interact with unintended, often unknown, biological targets and
these off-target interactions may lead to both preclinical and clinical toxic events. Undesired …

Open source Bayesian models. 1. Application to ADME/Tox and drug discovery datasets

AM Clark, K Dole, A Coulon-Spektor… - Journal of chemical …, 2015 - ACS Publications
On the order of hundreds of absorption, distribution, metabolism, excretion, and toxicity
(ADME/Tox) models have been described in the literature in the past decade which are …

Advances in predictions of oral bioavailability of candidate drugs in man with new machine learning methodology

U Fagerholm, S Hellberg, O Spjuth - Molecules, 2021 - mdpi.com
Oral bioavailability (F) is an essential determinant for the systemic exposure and dosing
regimens of drug candidates. F is determined by numerous processes, and computational …

Progress in computational toxicology

S Ekins - Journal of pharmacological and toxicological methods, 2014 - Elsevier
Introduction: Computational methods have been widely applied to toxicology across
pharmaceutical, consumer product and environmental fields over the past decade. Progress …