Figure 4 from ProBiS tools (algorithm, database, and web servers) for predicting and modeling of biologically interesting proteins. | Semantic Scholar
Figure 2 from Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment | Semantic Scholar
MIB2 :: Help
BioMetAll: Identifying Metal-Binding Sites in Proteins from Backbone Preorganization | Inorganic Chemistry | ChemRxiv | Cambridge Open Engage
IJMS | Free Full-Text | Proteins and Their Interacting Partners: An Introduction to Protein–Ligand Binding Site Prediction Methods
Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins | Nature Communications
MIB: Metal Ion-Binding Site Prediction and Docking Server | Journal of Chemical Information and Modeling
Identifying Metal Binding Sites in Proteins Using Homologous Structures, the MADE Approach | Journal of Chemical Information and Modeling
Molecules | Free Full-Text | Bioinformatics of Metalloproteins and Metalloproteomes
MIB2 :: introduction
ATPbind: Accurate Protein–ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons | Journal of Chemical Information and Modeling
Metal-binding sites predicted by SitePredict and CHED and protein... | Download Scientific Diagram
Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach | Nature Machine Intelligence
An ensemble 3D deep-learning model to predict protein metal-binding site - ScienceDirect
Exploring the computational methods for protein-ligand binding site prediction - Computational and Structural Biotechnology Journal
Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins | Nature Communications
IJMS | Free Full-Text | Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications
Metal binding site prediction using CHED server. | Download Table
Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins | Nature Communications
Co-evolution-based prediction of metal-binding sites in proteomes by machine learning | Nature Chemical Biology
ComBio Lab :: Web Services
