In silico electronics have revolutionized protein research and drug development by permissive efficient study and design of potential therapeutics. These methods, containing sequence databases, similarity modeling, and molecular hooking up, play a crucial role in investigating protein structure, function, and interplay. Protein databases provide a wealth of candidly available news, while homology modeling calls protein structures by leveraging similarities accompanying known makeups. Molecular docking allows for the study of fragment interactions, specifically in drug design. Moreover, these techniques aid in epitope prediction and realistic vaccine design, speeding the development of targeted vaccines. Additionally, in silico orders contribute to the understanding of molecular impersonation in autoimmune diseases and unproductiveness by identifying shared antigenic cause between pathogens and host proteins. This item aims to discuss the impact of in silico techniques on drug finding, vaccine design, and the understanding of molecular impersonation, including allure role in human unproductiveness through the elucidation of microscopic mimicry between human spermatozoa and microorganisms.
Author(s) Details:
Anshika Sharma,
Department
of Microbiology, Panjab University, Chandigarh-160014, India.
Ishwerpreet
Kaur Jawanda,
Department
of Microbiology, Panjab University, Chandigarh-160014, India.
Thomson Soni,
Department of Microbiology, Panjab University, Chandigarh-160014,
India.
Garima Upadhyay,
Department of Microbiology, Panjab University, Chandigarh-160014,
India.
Anurag Shama,
Department
of Microbiology, Panjab University, Chandigarh-160014, India.
Vijay
Prabha,
Department
of Microbiology, Panjab University, Chandigarh-160014, India.
Please see the link here: https://stm.bookpi.org/RHST-V6/article/view/11343
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