AI Medical Compendium Journal:
British journal of pharmacology

Showing 1 to 6 of 6 articles

GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.

British journal of pharmacology
BACKGROUND AND PURPOSE: Cell-penetrating peptides (CPPs) are short amino acid sequences that can penetrate cell membranes and deliver molecules into cells. Several models have been developed for their discovery, yet these models often face challenges...

Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence.

British journal of pharmacology
Three types of highly promising small RNA therapeutics, namely, small interfering RNAs (siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs), offer advantages over small-molecule drugs. These small RNAs can target any ...

Drug discovery: In silico dry data can bypass biological wet data?

British journal of pharmacology
The recent and extraordinary increase in computer power, along with the availability of efficient algorithms based on artificial intelligence, has prompted a large number of inexperienced scientists to challenge the complex and yet competitive world ...

The application of artificial intelligence to accelerate G protein-coupled receptor drug discovery.

British journal of pharmacology
The application of artificial intelligence (AI) approaches to drug discovery for G protein-coupled receptors (GPCRs) is a rapidly expanding area. Artificial intelligence can be used at multiple stages during the drug discovery process, from aiding ou...

Artificial intelligence for solid tumour diagnosis in digital pathology.

British journal of pharmacology
Tumour diagnosis relies on the visual examination of histological slides by pathologists through a microscope eyepiece. Digital pathology, the digitalization of histological slides at high magnification with slides scanners, has raised the opportunit...