Machine-learning-assisted de novo design of organic molecules and polymers: opportunities and challenges
Organic molecules and polymers have a broad range of applications in biomedical,
chemical, and materials science fields. Traditional design approaches for organic molecules …
chemical, and materials science fields. Traditional design approaches for organic molecules …
Machine learning for polymeric materials: an introduction
Polymers are incredibly versatile materials and have become ubiquitous. Increasingly,
researchers are using data science and polymer informatics to design new materials and …
researchers are using data science and polymer informatics to design new materials and …
[HTML][HTML] Understanding the diversity of the metal-organic framework ecosystem
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
chemical structures between different formats. While standard interchange formats exist (for …
Identification schemes for metal–organic frameworks to enable rapid search and cheminformatics analysis
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 …
possible structures. High-throughput computational screening has led to a rapid increase in …