SOURCE-LINKED INTELLIGENCE

INTEGRATIVE DEEP LEARNING ALGORITHMS FOR UNDERSTANDING PROTEIN SEQUENCE-STRUCTURE-FUNCTION RELATIONSHIPS: REPRESENTATION, PREDICTION, AND DISCOVERY - ABSTRACT UNDERSTANDING THE SEQUENCE-STRUCTURE-FUNCTION RELATIONSHIP OF

USAspending · observation · Publication date unknown

INTEGRATIVE DEEP LEARNING ALGORITHMS FOR UNDERSTANDING PROTEIN SEQUENCE-STRUCTURE-FUNCTION RELATIONSHIPS: REPRESENTATION, PREDICTION, AND DISCOVERY - ABSTRACT UNDERSTANDING THE SEQUENCE-STRUCTURE-FUNCTION RELATIONSHIP OF PROTEINS IS OF VITAL IMPORTANCE TO PROTEIN BIOLOGY, BIOMEDICINE, AND BIOENGINEERING. RECENT ADVANCES IN BIOTECHNOLOGY HAVE BEEN GENERATING RICH DATASETS TO CHARACTERIZE PROTEINS, SUCH AS NEXT-GENERATION SEQUENCING DATA, THREE-DIMENSIONAL (3D) STRUCTURES, ONTOLOGY ANNOTATIONS, AND MEASUREMENTS OF FUNCTIONAL ACTIVITIES, YET HOW TO COMPUTATIONALLY OPERATIONALIZE THESE DATASETS TO

Read original source ↗ Open in workspace

recordType

award

region

US

value

1641512

unit

USD