Guest Editors
Anu Manhas, Pandit Deendayal Energy University, India, Anu.Manhas@sot.pdpu.ac.in
Mohd. Athar, Università degli Studi di Cagliari, Italy, mathar@dsf.unica.it
Summary
Disease prediction and treatment is an important process, and medicinal chemistry has played an essential role. In this regard, computational approaches help to identify new drugs in a shorter period. The utilization of such cutting-edge research methodologies enables accelerated target identification, protein structure prediction, drug design, and synthesis.
The scope of the special issue includes molecular modeling, pharmacophore modeling, molecular dynamics simulations, QSAR studies, bioinformatics, database construction, understanding molecular interactions, signaling pathways, gene expression, or cellular processes and submissions of experimental findings or comparative computational studies of biological activity are encouraged. Furthermore, breakthroughs in AI for protein structure prediction, bioactivity and toxicity prediction, clinical trial design and monitoring, and so on are invited for contribution.
This special issue welcomes original research and various review articles focused on the advancement, applications, and potential of computational methods in drug design and discovery. By submitting to this issue, researchers have an opportunity to showcase their work and contribute to the advancement of computational methods in the field of structural and molecular biology, ultimately driving progress in disease research and therapeutic innovation.
Keywords
computer-aided drug design, molecular dynamics simulations, protein-ligand interaction, bioinformatics, structural biology, molecular biology, cellular biology
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