AI Medical Compendium Journal:
Biochemical Society transactions

Showing 1 to 5 of 5 articles

Advancing structure modeling from cryo-EM maps with deep learning.

Biochemical Society transactions
Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling the determination of biomolecular structures that are challenging to resolve using conventional methods. Interpreting a cryo-EM map requires accurate modeling of the...

Artificial intelligence for microscopy: what you should know.

Biochemical Society transactions
Artificial Intelligence based on Deep Learning (DL) is opening new horizons in biomedical research and promises to revolutionize the microscopy field. It is now transitioning from the hands of experts in computer sciences to biomedical researchers. H...

Applications of artificial intelligence and machine learning in dynamic pathway engineering.

Biochemical Society transactions
Dynamic pathway engineering aims to build metabolic production systems embedded with intracellular control mechanisms for improved performance. These control systems enable host cells to self-regulate the temporal activity of a production pathway in ...

Targeting trypanosomes: how chemogenomics and artificial intelligence can guide drug discovery.

Biochemical Society transactions
Trypanosomatids are protozoan parasites that cause human and animal neglected diseases. Despite global efforts, effective treatments are still much needed. Phenotypic screens have provided several chemical leads for drug discovery, but the mechanism ...

Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD).

Biochemical Society transactions
There have been numerous advances in the development of computational and statistical methods and applications of big data and artificial intelligence (AI) techniques for computer-aided drug design (CADD). Drug design is a costly and laborious proces...