1. Current approaches for protein structure prediction and design<br>George Priya Doss Priya Doss C<br>2. Protein Modelling, Prediction servers and applications in molecular modelling<br>Selvaraj Chandrabose Sr.<br>3. Toward accurate in silico prediction of antigen binding affinities in antibody engineering<br>Seyit Kale, Sibel Kalyoncu Uzunlar, Hatice Döşeme, Merve Arslan and Tuğçe Uluçay<br>4. Molecular Blueprints: Guiding Drug Discovery through Protein Structure Analysis<br>Dileep Francis<br>5. Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Problem Information Aggregation<br>Rafael Stubs Parpinelli Sr.<br>6. Tau protein structure and dynamics<br>Subashchandrabose Chinnathambi, Gowshika Velmurugan and Madhura Chandrashekar<br>7. Tau interacts with G-protein coupled receptors (GPCRs)<br>Subashchandrabose Chinnathambi, Madhura Chandrashekar, Gowshika Velmurugan, Vaishnavi Ananthanaraya and Nagaraj Rangappa<br>8. How to accurately predict nanobody structure: Classical physics-based simulations or deep learning approaches<br>Weiwei Xue<br>9. Medicinal Chemistry-based Novel Therapeutics for Tauopathies in Alzheimer’s Disease<br>Subashchandrabose Chinnathambi, Sneha Malik, Madhura Chandrashekar and Murugappan Kumurappan<br>10. Mapping the Pathogenic Nexus: Gene Overlap and Protein Interaction Networks in Alzheimer's and Breast Cancer as a Precursor to Protein Structure Prediction and Analysis<br>Vinoth Kumar Raja<br>11. Predicting protein structural insight changes upon hotspot mutations of ERBB2 gene affecting NSCLC<br>George Priya Doss Priya Doss C<br>12. Computational Modeling of RET Hotspot Mutations in the NSCLC: Impact on Protein Structure, Dynamics, and Stability<br>George Priya Doss Priya Doss C<br>13. Deciphering the Impact of Genetic Variants of Unknown Significance in Inherited Retinal Disease Through Computational and Functional Approaches<br>Esther E. Biswas-Fiss, Senem Cevik, Jazzlyn Jones and Subhasis Biswas<br>14. The structure-based approaches to computing viral fitness<br>Rukmankesh Mehra and Shivani Thakur<br>15. Structural Insights from Neuraminidase Diversity: Implications for Selectivity in Anti-Infective and Anticancer Strategies<br>Ciro Leonardo Pierri<br>16. Machine learning and molecular modeling based design of nanobodies targeting human serotonin transporter and receptor<br>Weiwei Xue and Binbin Xu<br>17. Tau proteostasis in Alzheimer’s Disease<br>Subashchandrabose Chinnathambi<br>18. SUMO inhibits Tau aggregation in Alzheimer's disease<br>Subashchandrabose Chinnathambi and Nagaraj Rangappa<br>19. Apolipoprotein E and Tau Interaction in Alzheimer's disease<br>Subashchandrabose Chinnathambi, Anusree Adithyan, Madhura Chandrashekar and Hariharakrishnan Chidambaram<br>20. Cholesterol metabolism regulates Tauopathy in Alzheimer's disease<br>Subashchandrabose Chinnathambi, Anusree Adithyan and Madhura Chandrashekar
