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
DisDock : A Deep Learning Method for Metal Ion‐Protein Redocking
DisDock : A Deep Learning Method for Metal Ion‐Protein Redocking
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Menghan Lin
,
Keqiao Li
,
Yuan Zhang
,
Feng Pan
,
Wei Wu
,
Jinfeng Zhang
Format:
Artículo Open Access
Published:
Wiley
2025
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
Protein–Ligand Structure Prediction by Template‐Guided Ensemble Docking Strategy
by: Keqiong Zhang, et al.
Published: (2025)
FTDMP: A Framework for Protein–Protein, Protein–DNA, and Protein–RNA Docking and Scoring
by: Kliment Olechnovič, et al.
Published: (2025)
Protein–Protein Interaction Prediction via Structure‐Based Deep Learning
by: Yucong Liu, et al.
Published: (2024)
Protein‐ RNA Docking Benchmark v3.0 Integrated With Binding Affinity
by: Shri Kant, et al.
Published: (2025)
Predicting the Oligomeric State of Proteins Using Multiple Templates Detected by Complementary Alignment Methods
by: Yuxian Luo, et al.
Published: (2025)