Protein Data Bank (PDB)
Emerging16papers using it
2023first seen
The Protein Data Bank (PDB) is a curated repository of three-dimensional structural data of proteins, used to evaluate the accuracy of protein secondary structure prediction methods.
Papers using Protein Data Bank (PDB) (16)
- ESMDisPred: A Structure-Aware CNN-Transformer Architecture for Intrinsically Disordered Protein PredictionAlphaFold Database Debiasing for Robust Inverse FoldingProtein Structure Prediction: From Homologue Identification to Accurate 3d Modelling Using an Ultra-Fast Search EngineProtein Secondary Structure Prediction Using Soft Computing Techniques.HBAT 2: A Python Package to Analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular StructuresDeveloping a Machine-Learning Interatomic Potential for Non-Covalent Interactions in ProteinsReACT-Drug: Reaction-Template Guided Reinforcement Learning for de novo Drug DesignXAI-Driven Deep Learning for Protein Sequence Functional Group ClassificationAligning Proteins and Language: A Foundation Model for Protein RetrievalPPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex DesignPhysics-informed generative model for drug-like molecule conformersDynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating
Dynamic Behaviors and Physical Properties in Protein StructuresPepHarmony: A Multi-View Contrastive Learning Framework for Integrated
Sequence and Structure-Based Peptide EncodingDiAMoNDBack: Diffusion-denoising Autoregressive Model for
Non-Deterministic Backmapping of C{\alpha} Protein TracesAdvanced atom-level representations for protein flexibility prediction
utilizing graph neural networksQuadratic unconstrained binary optimization and constraint programming
approaches for lattice-based cyclic peptide docking