Advancements in genome mining, high-throughput sequencing and experimental
techniques have generated an enormous amount of data on natural products. This has led …

De novo molecule generation allows the search for more drug-like hits across a vast
chemical space. However, lead optimization is still required, and the process of optimizing …

Designing novel small molecules with desirable properties and feasible synthesis continues
to pose a significant challenge in drug discovery, particularly in the realm of natural …

Control of biomolecular condensates may hold considerable therapeutic potential.
Intracellular condensates are highly multi-component systems in which complex phase …

The drug design process is lengthy, complex, and dependent on several factors. Developing
a medicine can take 10 to 15 years, from discovery to commercialisation. Machine learning …

Gonadotrophin-releasing hormone receptor (GnRH1R) is a promising therapeutic target for
the treatment of uterine diseases. To date, several GnRH1R antagonists are available in …

The Artificial intelligence (AI)" is the science and engineering of making intelligent machines,
especially intelligent computer programs. It is related to the similar task of using computers …

Solar thermal systems for heating have a high level of reliability. The usage of parabolic
trough collectors (PTC) for domestic applications is still quite limited; furthermore …

Ultra-large make-on-demand compound libraries now contain billions of readily available
compounds. This represents a golden opportunity for in-silico drug discovery. One …

Ligand GA is introduced in this work and approaches the problem of finding small molecules
inhibiting protein functions by using the protein site to find close to optimal or optimal small …