57 citations · 97 across the 16 of their papers we have counts for
3 papers · 1 filter
Using the structural kinome to systematize kinase drug discovery
Zheng Zhao, Philip E. Bourne
Kinase-targeted drug design is challenging. It requires designing inhibitors that can bind to specific kinases when all kinase catalytic domains share a common folding scaffold tha…
Deep Learning of Protein Structural Classes: Any Evidence for an 'Urfold'?
Menuka Jaiswal, Saad Saleem, Yonghyeon Kweon +4
Recent computational advances in the accurate prediction of protein three-dimensional (3D) structures from amino acid sequences now present a unique opportunity to decipher the int…
Machine Learning for Classification of Protein Helix Capping Motifs
Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli +4
The biological function of a protein stems from its 3-dimensional structure, which is thermodynamically determined by the energetics of interatomic forces between its amino acid bu…