AI-driven GPCR analysis, engineering, and targeting

JPL Velloso, AS Kovacs, DEV Pires… - Current Opinion in …, 2024 - Elsevier
This article investigates the role of recent advances in Artificial Intelligence (AI) to
revolutionise the study of G protein-coupled receptors (GPCRs). AI has been applied to …

piscesCSM: prediction of anticancer synergistic drug combinations

R AlJarf, CHM Rodrigues, Y Myung, DEV Pires… - Journal of …, 2024 - Springer
While drug combination therapies are of great importance, particularly in cancer treatment,
identifying novel synergistic drug combinations has been a challenging venture …

AI-driven enhancements in drug screening and optimization

A Serghini, S Portelli, DB Ascher - Computational Drug Discovery and …, 2023 - Springer
The greatest challenge in drug discovery remains the high rate of attrition across the
different phases of the process, which cost the industry billions of dollars every year. While …

Assessment of iridoids and their similar structures as antineoplastic drugs by in silico approach

P Neupane, J Adhikari Subin… - Journal of Biomolecular …, 2024 - Taylor & Francis
Iridoids commonly found in plants as secondary metabolites have been reported to possess
significant biological activities such as anticancer, antioxidant, hypoglycemic, antimicrobial …

TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery

X Shen, S Yan, T Zeng, F **a, D Jiang… - Journal of Medicinal …, 2025 - ACS Publications
Target identification is a critical stage in the drug discovery pipeline. Various computational
methodologies have been dedicated to enhancing the classification performance of …

KinScan: AI-based rapid profiling of activity across the kinome

R Brahma, JM Shin, KH Cho - Briefings in Bioinformatics, 2023 - academic.oup.com
Kinases play a vital role in regulating essential cellular processes, including cell cycle
progression, growth, apoptosis, and metabolism, by catalyzing the transfer of phosphate …

DiPPI: A Curated Data Set for Drug-like Molecules in Protein–Protein Interfaces

F Cankara, S Senyuz, AZ Sayin, A Gursoy… - Journal of Chemical …, 2024 - ACS Publications
Proteins interact through their interfaces, and dysfunction of protein–protein interactions
(PPIs) has been associated with various diseases. Therefore, investigating the properties of …

[PDF][PDF] AMachine LEARNING APPROACH FOR

IC KI - 2024 - estudogeral.uc.pt
The calculation of binding affinity is a crucial aspect in the development of new drugs,
however, it is a costly and time-consuming process. By creating a predictive model for the …