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COLOR
COLOR: A Compositional Linear Operation-Based Representation of Protein Sequences for Identification of Monomer Contributions to Properties.
2025.12.0300
iPiDA_CL
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods.
2025.12.0300
TransABseq
TransABseq: A Two-Stage Approach for Predicting Antigen-Antibody Binding Affinity Changes upon Mutation Based on Protein Sequences.
2025.12.0300
COBY
Creating Coarse-Grained Systems with COBY: Toward Higher Accuracy of Complex Biological Systems.
2025.12.0300
AbSet
AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications.
2025.12.0300
DrugEx
Integrating Pharmacokinetics and Quantitative Systems Pharmacology Approaches in Generative Drug Design.
2025.12.0300
MolSnapper
MolSnapper: Conditioning Diffusion for Structure-Based Drug Design.
2025.12.0300
CMD-FGKpuu
Predicting the Brain-To-Plasma Unbound Partition Coefficient of Compounds via Formula-Guided Network.
2025.12.0300
MTPSol
MTPSol: Multimodal Twin Protein Solubility Prediction Architecture Based on Pretrained Models.
2025.12.0300
CycDockAssem
De Novo Design of Cyclic Peptide Binders Based on Fragment Docking and Assembling.
2025.12.0300
MVDSA
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.
2025.12.0300
MHNfs
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery.
2025.12.0300
wall-EASAL
A New Discrete-Geometry Approach for Integrative Docking of Proteins Using Chemical Cross-Links.
2025.12.0300
PyPE_RESP
PyPE_RESP: A Tool to Facilitate and Standardize Derivation of RESP Charges.
2025.12.0300
DCGHCN
Utilizing Dual-Channel Graph and Hypergraph Convolution Network to Discover Microbes Underlying Disease Traits.
2025.12.0300
gnn-descriptor
Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.
2025.12.0300
HGCL-DR
Heterogeneous Graph Contrastive Learning with Graph Diffusion for Drug Repositioning.
2025.12.0300
Vina-CUDA
Vina-CUDA: An Efficient Program with in-Depth Utilization of GPU to Accelerate Molecular Docking.
2025.12.0300
CrypToth
CrypToth: Cryptic Pocket Detection through Mixed-Solvent Molecular Dynamics Simulations-Based Topological Data Analysis.
2025.12.0300
FE-ToolKit
FE-ToolKit: A Versatile Software Suite for Analysis of High-Dimensional Free Energy Surfaces and Alchemical Free Energy Networks.
2025.12.0300
ChemXploreML
Machine Learning Pipeline for Molecular Property Prediction Using ChemXploreML.
2025.12.0300
LLM-MPP
Effective and Explainable Molecular Property Prediction by Chain-of-Thought Enabled Large Language Models and Multi-Modal Molecular Information Fusion.
2025.12.0300
DLST-MDA
Deep-Learning-Based Integration of Sequence and Structure Information for Efficiently Predicting miRNA-Drug Associations.
2025.12.0300
OpHReda
Advancing Enzyme Optimal pH Prediction via Retrieved Embedding Data Augmentation.
2025.12.0300
OxPot
Predicting Oxidation Potentials with DFT-Driven Machine Learning.
2025.12.0300
GICL
GICL: A Cross-Modal Drug Property Prediction Framework Based on Knowledge Enhancement of Large Language Models.
2025.12.0300
MGCA
Uncertainty Quantification and Temperature Scaling Calibration for Protein-RNA Binding Site Prediction.
2025.12.0300
GArNet
GArNet: A Genetic Algorithm-Based Protein Redesign Approach to Optimize Mutation Combinations Informed by Network Theory.
2025.12.0300
EMMPTNet
Explainable RNA-Small Molecule Binding Affinity Prediction Based on Multiview Enhancement Learning.
2025.12.0300
pylambdaopt
Simple Method to Optimize the Spacing and Number of Alchemical Intermediates in Expanded Ensemble Free Energy Calculations.
2025.12.0300
PySSA
PySSA for Windows: End-User Protein Structure Prediction and Visual Analysis with ColabFold and PyMOL.
2025.12.0300
RosettaAMRLD
RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms.
2025.12.0300
HX-ESP
Integrating Hydrogen Exchange with Molecular Dynamics for Improved Ligand Binding Predictions.
2025.12.0300
CycleDesigner
CycleDesigner: Leveraging CycRFdiffusion and HighFold to Design Cyclic Peptide Binders for Specific Targets.
2025.12.0300
AVP-HNCL
AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction.
2025.12.0300
MTGNN
MTGNN: A Drug-Target-Disease Triplet Association Prediction Model Based on Multimodal Heterogeneous Graph Neural Networks and Direction-Aware Metapaths.
2025.12.0300
MlCOFSyn
MlCOFSyn: A Machine Learning Framework To Facilitate the Synthesis of 2D Covalent Organic Frameworks.
2025.12.0300
MOFF
Improving Covalent and Noncovalent Molecule Generation via Reinforcement Learning with Functional Fragments.
2025.12.0300
RIdiffusion
A Hyperbolic Discrete Diffusion 3D RNA Inverse Folding Model for Functional RNA Design.
2025.12.0300
DrugBaiter
Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.
2025.12.0300