Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data.

ABSTRACT:

Background

Machine learning (ML) has a rich history in structural bioinformatics, and modern approaches, such as deep learning, are revolutionizing our knowledge of the subtle relationships between biomolecular sequence, structure, function, dynamics and evolution. As with any advance that rests upon statistical learning approaches, the recent progress in biomolecular sciences is enabled by the availability of vast volumes of sufficiently-variable data. To be useful, such data must be well-structured, machine-readable, intelligible and manipulable. These and related requirements pose challenges that become especially acute at the computational scales typical in ML. Furthermore, in structural bioinformatics such data generally relate to protein three-dimensional (3D) structures, whi

SUBMITTER: Draizen EJ 

PROVIDER: S-EPMC10768222 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature