Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify
molecular starting points that will develop into safe and efficacious drugs while reducing …

The requirement for appropriate ways to measure the similarity between data objects is a
common but vital task in various domains, such as data mining, machine learning and so on …

TBK1, or TANK-binding kinase 1, is an enzyme that functions as a serine/threonine protein
kinase. It plays a crucial role in various cellular processes, including the innate immune …

Background Alzheimer's disease (AD), the most prevalent form of dementia, remains
enigmatic in its origins despite the widely accepted" amyloid hypothesis," which implicates …

Cervical cancer is the fourth most diagnosed cancer and the fourth leading cause of cancer
death in women globally. Its onset and progression have been attributed to high-risk human …

Schizophrenia (SZ) is a complex, chronic mental disorder characterized by positive
symptoms (such as delusions and hallucinations), negative symptoms (including anhedonia …

Despite essential experimental efforts focused on studying severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), computational chemistry methods are promising …

This Ph. D. dissertation delves into the forefront of pharmaceutical research, exploring
innovative applications of artificial intelligence (AI) in the realms of drug discovery. The …

The rapid advancement of computational science continues to drive innovation and create
opportunities in the field of drug discovery. With the ongoing expansion of data in the life …

The advantages of cloud computing, which include the ability to outsource data processing
to remote servers, have 7ftyhcontributed to the technology's meteoric increase in popularity …