GK BertDTA: a graph representation learning and semantic embedding-based framework for drug-target affinity prediction
Developing new drugs is costly, time-consuming, and risky. Drug-target affinity (DTA),
indicating the binding capability between drugs and target proteins, is a crucial indicator for …
indicating the binding capability between drugs and target proteins, is a crucial indicator for …
Advanced Molecular Docking Approach to Simulate Intermolecular Interaction and Binding Affinity Energy of Four Key Bio-Compounds Against Angiotensin …
The scientific community has been mobilized in recent years at the international level to find
concrete solution, in order to elaborate vaccines against Covid-19 with less side-effects and …
concrete solution, in order to elaborate vaccines against Covid-19 with less side-effects and …
[PDF][PDF] Computational Tools and Data Integration to Accelerate Vaccine Development: Challenges, Opportunities, and Future Directions
The development of effective vaccines is crucial for combating current and emerging
pathogens. Despite significant advances in the field of vaccine development there remain …
pathogens. Despite significant advances in the field of vaccine development there remain …
[PDF][PDF] Feed Forward Neural Network-Based Approaches for Vaccine Target Identification: Implementation and Insights
S Verma, M Garg, R Gandotra, P Mahajan, NP Vidhu… - osf.io
Vaccine development relies heavily on the identification of appropriate antigen targets to
induce robust immune responses. Traditional methods for vaccine target identification often …
induce robust immune responses. Traditional methods for vaccine target identification often …