[HTML][HTML] A guide to in silico drug design
Y Chang, BA Hawkins, JJ Du, PW Groundwater… - Pharmaceutics, 2023 - mdpi.com
The drug discovery process is a rocky path that is full of challenges, with the result that very
few candidates progress from hit compound to a commercially available product, often due …
few candidates progress from hit compound to a commercially available product, often due …
Forging the basis for developing protein–ligand interaction scoring functions
Z Liu, M Su, L Han, J Liu, Q Yang, Y Li… - Accounts of chemical …, 2017 - ACS Publications
Conspectus In structure-based drug design, scoring functions are widely used for fast
evaluation of protein–ligand interactions. They are often applied in combination with …
evaluation of protein–ligand interactions. They are often applied in combination with …
Uni-mol: A universal 3d molecular representation learning framework
Molecular representation learning (MRL) has gained tremendous attention due to its critical
role in learning from limited supervised data for applications like drug design. In most MRL …
role in learning from limited supervised data for applications like drug design. In most MRL …
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database
The PharmMapper online tool is a web server for potential drug target identification by
reversed pharmacophore matching the query compound against an in-house …
reversed pharmacophore matching the query compound against an in-house …
How beyond rule of 5 drugs and clinical candidates bind to their targets
BC Doak, J Zheng, D Dobritzsch… - Journal of medicinal …, 2016 - ACS Publications
To improve discovery of drugs for difficult targets, the opportunities of chemical space
beyond the rule of 5 (bRo5) were examined by retrospective analysis of a comprehensive …
beyond the rule of 5 (bRo5) were examined by retrospective analysis of a comprehensive …
sc-PDB: a 3D-database of ligandable binding sites—10 years on
The sc-PDB database (available at http://bioinfo-pharma. u-strasbg. fr/scPDB/) is a
comprehensive and up-to-date selection of ligandable binding sites of the Protein Data …
comprehensive and up-to-date selection of ligandable binding sites of the Protein Data …
Druggability analysis and structural classification of bromodomain acetyl-lysine binding sites
Bromodomains are readers of the epigenetic code that specifically bind acetyl-lysine
containing recognition sites on proteins. Recently the BET family of bromodomains has been …
containing recognition sites on proteins. Recently the BET family of bromodomains has been …
PockDrug-Server: a new web server for predicting pocket druggability on holo and apo proteins
HA Hussein, A Borrel, C Geneix… - Nucleic acids …, 2015 - academic.oup.com
Predicting protein pocket's ability to bind drug-like molecules with high affinity, ie
druggability, is of major interest in the target identification phase of drug discovery …
druggability, is of major interest in the target identification phase of drug discovery …
Binding site detection and druggability prediction of protein targets for structure-based drug design
Assessing whether a protein structure is a good target or not before actually doing structure-
based drug design on it is an important step to speed up the ligand discovery process. This …
based drug design on it is an important step to speed up the ligand discovery process. This …
Druggability and drug-likeness concepts in drug design: are biomodelling and predictive tools having their say?
The drug discovery process typically involves target identification and design of suitable
drug molecules against these targets. Despite decades of experimental investigations in the …
drug molecules against these targets. Despite decades of experimental investigations in the …