Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Protein–Protein Interaction Prediction via Structure‐Based Deep Learning
Protein–Protein Interaction Prediction via Structure‐Based Deep Learning
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Yucong Liu
,
Yijun Liu
,
Zhenhai Li
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Proteins: Structure, Function, and Bioinformatics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Prediction and Evaluation of Coronavirus and Human Protein–Protein Interactions Integrating Five Different Computational Methods
by: Binghua Li, et al.
Published: (2025)
Protein‐Ligand Structure and Affinity Prediction in CASP16 Using a Geometric Deep Learning Ensemble and Flow Matching
by: Alex Morehead, et al.
Published: (2025)
DeepUSPS : Deep Learning‐Empowered Unconstrained‐Structural Protein Sequence Design
by: Zhichong Ma, et al.
Published: (2025)
PCANN Program for Structure‐Based Prediction of Protein–Protein Binding Affinity: Comparison With Other Neural‐Network Predictors
by: Olga O. Lebedenko, et al.
Published: (2025)
Modeling Protein–Protein and Protein–Ligand Interactions by the ClusPro Team in CASP16
by: Ryota Ashizawa, et al.
Published: (2025)