Machine-learning-assisted de novo design of organic molecules and polymers: opportunities and challenges

G Chen, Z Shen, A Iyer, UF Ghumman, S Tang, J Bi… - Polymers, 2020 - mdpi.com
Organic molecules and polymers have a broad range of applications in biomedical,
chemical, and materials science fields. Traditional design approaches for organic molecules …

Machine learning for polymeric materials: an introduction

MM Cencer, JS Moore, RS Assary - Polymer International, 2022 - Wiley Online Library
Polymers are incredibly versatile materials and have become ubiquitous. Increasingly,
researchers are using data science and polymer informatics to design new materials and …

[HTML][HTML] Understanding the diversity of the metal-organic framework ecosystem

SM Moosavi, A Nandy, KM Jablonka, D Ongari… - Nature …, 2020 - nature.com
Millions of distinct metal-organic frameworks (MOFs) can be made by combining metal
nodes and organic linkers. At present, over 90,000 MOFs have been synthesized and over …

eQuilibrator 3.0: a database solution for thermodynamic constant estimation

ME Beber, MG Gollub, D Mozaffari… - Nucleic acids …, 2022 - academic.oup.com
Abstract eQuilibrator (equilibrator. weizmann. ac. il) is a database of biochemical equilibrium
constants and Gibbs free energies, originally designed as a web-based interface. While the …

PLIP: fully automated protein–ligand interaction profiler

S Salentin, S Schreiber, VJ Haupt… - Nucleic acids …, 2015 - academic.oup.com
The characterization of interactions in protein–ligand complexes is essential for research in
structural bioinformatics, drug discovery and biology. However, comprehensive tools are not …

α-Glucosidase inhibition by flavonoids: an in vitro and in silico structure–activity relationship study

C Proença, M Freitas, D Ribeiro… - Journal of enzyme …, 2017 - Taylor & Francis
Abstract α-Glucosidase inhibitors are described as the most effective in reducing post-
prandial hyperglycaemia (PPHG) from all available anti-diabetic drugs used in the …

ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database

J Dong, NN Wang, ZJ Yao, L Zhang, Y Cheng… - Journal of …, 2018 - Springer
Current pharmaceutical research and development (R&D) is a high-risk investment which is
usually faced with some unexpected even disastrous failures in different stages of drug …

CATMoS: collaborative acute toxicity modeling suite

K Mansouri, AL Karmaus, J Fitzpatrick… - Environmental …, 2021 - ehp.niehs.nih.gov
Background: Humans are exposed to tens of thousands of chemical substances that need to
be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for …

Open Babel: An open chemical toolbox

NM O'Boyle, M Banck, CA James, C Morley… - Journal of …, 2011 - Springer
Background A frequent problem in computational modeling is the interconversion of
chemical structures between different formats. While standard interchange formats exist (for …

Identification schemes for metal–organic frameworks to enable rapid search and cheminformatics analysis

BJ Bucior, AS Rosen, M Haranczyk, Z Yao… - Crystal Growth & …, 2019 - ACS Publications
The modular nature of metal–organic frameworks (MOFs) leads to a very large number of
possible structures. High-throughput computational screening has led to a rapid increase in …