57 citations · 58 across the 3 of their papers we have counts for
4 papers
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…
Structural insights into characterizing binding sites in EGFR kinase mutants
Zheng Zhao, Lei Xie, Philip E. Bourne
Over the last two decades epidermal growth factor receptor (EGFR) kinase has become an important target to treat non-small cell lung cancer (NSCLC). Currently, three generations of…
Overview of Current Type I/II Kinase Inhibitors
Zheng Zhao, Philip E. Bourne
Research on kinase-targeting drugs has made great strides over the last 30 years and is attracting greater attention for the treatment of yet more kinase-related diseases. Currentl…