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HighFold-MeD: a Rosetta distillation model to accelerate structure prediction of cyclic peptides with backbone N-methylation and d-amino acids

郭晶晶课题组 , 澳门理工大学

RA2M-UNet: Efficient medical image segmentation via reparameterized convolution, dual-domain attention and 2D state–space modeling

郭晶晶课题组 , 澳门理工大学

Accurate structure prediction of cyclic peptides containing unnatural amino acids using HighFold3

郭晶晶课题组 , 澳门理工大学

PPIKB: A Comprehensive Knowledge Base and Analysis Platform for Protein–Peptide Interactions Based on Literature and Patents

郭晶晶课题组 , 澳门理工大学

BridgeNet: a high-efficiency framework integrating sequence and structure for protein and enzyme function prediction

郭晶晶课题组 , 澳门理工大学

AlphaFold3 for Non-canonical Cyclic Peptide Modeling: Hierarchical Benchmarking Reveals Accuracy and Practical Guidelines

郭晶晶课题组 , 澳门理工大学

A natural PCID2-Targeting compound suppresses hepatocellular carcinoma progression: evidence from structure-based discovery and biological evaluation

郭晶晶课题组 , 澳门理工大学

Unveiling the molecular mechanism of <i>G<sub>i</sub></i> protein biased activation at <scp>mGlu<sub>2</sub></scp>–<scp>mGlu<sub>4</sub></scp> heterodimers through Gaussian accelerated molecular dynamics simulations

郭晶晶课题组 , 澳门理工大学

Human miRNA–disease Association Prediction Via Residual GraphSAGE With Nonlinear Adaptive Feature Fusion and Triplet Contrastive Learning

郭晶晶课题组 , 澳门理工大学

NCPepFold: Accurate Prediction of Noncanonical Cyclic Peptide Structures via Cyclization Optimization with Multigranular Representation

郭晶晶课题组 , 澳门理工大学

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