Covalent Inhibitors in Drug Discovery: Current Applications

Geometric Deep Learning for Structure-Based Drug Discovery

Humans and molecules are living in the same, three-dimensional world. Drug discovery and development is a great work of managing our internal and enemies’ (like virus’) external system by a precisely and optimally elaborated molecule. Molecule-molecule interaction like PPI needs to be analyzed in a three-dimensional world for deep recognition, hence prediction and design of...

Deep Learning Is Enabling Structure-Based Drug Design: Current Approaches

Deep Learning Is Enabling Structure-Based Drug Design: Current Approaches Structure-based drug design (SBDD) or discovery is one of the state-of-art approaches. Computational aid has allowed medicinal chemists to accelerate the drug design in the discovery stages. Now, deep learning (DL) models are enabling the efficient support of SBDD. Emerging DL technologies have potential to lead...

Drug Design by Sequence Not by Structure of Proteins

Idealistically speaking, it would be fantastic if drug molecule is readily designed just by the sequence of the target of interest. Structure-based drug design (SBDD) is the currently major approach for drug discovery and development stage. The three-dimensional structure is a key resource even though the advent of AlphaFold2 and RoseTTAFold has offered us beautiful...

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