Papers Protein Annotation
“Protein Annotation” 태그가 달린 논문 4편 · 필터 해제
Accurate and efficient protein embedding using multi-teacher distillation learning
Motivation: Protein embedding, which represents proteins as numerical vectors, is a crucial step in various learning-based protein annotation/classification problems, including gene ontology prediction, protein-protein i…
PredictionProtein AnnotationProtein Structure PredictionAnnotation-guided Protein Design with Multi-Level Domain Alignment
The core challenge of de novo protein design lies in creating proteins with specific functions or properties, guided by certain conditions. Current models explore to generate protein using structural and evolutionary gui…
Protein AnnotationProtein DesignGalactica: A Large Language Model for Science
Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific…
AnachronismsBias DetectionCitation PredictionClassification+21Prediction of Metabolic Pathways Involvement in Prokaryotic UniProtKB Data by Association Rule Mining
The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Automatic functional annotation of proteins is expected to meet the conflicting re…
Protein Annotation