1 citations · 1 across the 2 of their papers we have counts for
3 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 biology meets data science: Does anything change?
Cameron Mura, Eli J. Draizen, Philip E. Bourne
Data science has emerged from the proliferation of digital data, coupled with advances in algorithms, software and hardware (e.g., GPU computing). Innovations in structural biology…