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Hongliang Duan

Showing results (21-30 of 75) with videos related to

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Journal of Molecular Biology|July 30, 2025
Human miRNA-disease Association Prediction Via Residual GraphSAGE With Nonlinear Adaptive Feature Fusion and Triplet Contrastive LearningJianan Sui, Weirong Cui, Xiaoxiao Zhang, et al.
Protein Science : a Publication of the Protein Society|August 18, 2025
Unveiling the molecular mechanism of G<sub>i</sub> protein biased activation at mGlu<sub>2</sub>-mGlu<sub>4</sub> heterodimers through Gaussian accelerated molecular dynamics simulationsBaoyu He, Longfei Mao, Xiaojie Jin, et al.
Briefings in Bioinformatics|June 17, 2026
MIFNDRA: an innovative knowledge-enhanced multimodal fusion and graph learning framework for predicting drug resistance-related ncRNAsJianan Sui, Weirong Cui, Xiaojie Jin, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 30, 2026
AI-Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune CheckpointKatarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, et al.
Journal of Chemical Information and Modeling|May 4, 2026
HighFold-MeD2: An Enhanced Boltz-2 Model for Accurate Structure Prediction of N-Methylated and d-Amino Acid Cyclic PeptidesZhigang Cao, Wentong Wang, Sen Cao, et al.
Journal of Chemical Theory and Computation|May 27, 2026
EZPro-Multi: Contrastive Learning-Enhanced Multi-property Prediction for Enzyme EngineeringJianan Sui, Ran Xu, Hui Sun, et al.
IEEE Journal of Biomedical and Health Informatics|October 13, 2025
HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence DesignWen Xu, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|September 21, 2025
Accurate structure prediction of cyclic peptides containing unnatural amino acids using HighFold3Sen Cao, Cheng Zhu, Qingyi Mao, et al.
Materials Science & Engineering. C, Materials for Biological Applications|July 6, 2021
Curcumin-loaded sandwich-like nanofibrous membrane prepared by electrospinning technology as wound dressing for accelerate wound healingKai Chen, Hao Pan, Dongxu Ji, et al.
Molecules (Basel, Switzerland)|May 23, 2020
Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New LevelRenren Bai, Chengyun Zhang, Ling Wang, et al.
Pageof 8

Showing results (21-30 of 75) with videos related to

Sort By:
Pageof 8
Journal of Molecular Biology|July 30, 2025
Human miRNA-disease Association Prediction Via Residual GraphSAGE With Nonlinear Adaptive Feature Fusion and Triplet Contrastive LearningJianan Sui, Weirong Cui, Xiaoxiao Zhang, et al.
Protein Science : a Publication of the Protein Society|August 18, 2025
Unveiling the molecular mechanism of G<sub>i</sub> protein biased activation at mGlu<sub>2</sub>-mGlu<sub>4</sub> heterodimers through Gaussian accelerated molecular dynamics simulationsBaoyu He, Longfei Mao, Xiaojie Jin, et al.
Briefings in Bioinformatics|June 17, 2026
MIFNDRA: an innovative knowledge-enhanced multimodal fusion and graph learning framework for predicting drug resistance-related ncRNAsJianan Sui, Weirong Cui, Xiaojie Jin, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 30, 2026
AI-Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune CheckpointKatarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, et al.
Journal of Chemical Information and Modeling|May 4, 2026
HighFold-MeD2: An Enhanced Boltz-2 Model for Accurate Structure Prediction of N-Methylated and d-Amino Acid Cyclic PeptidesZhigang Cao, Wentong Wang, Sen Cao, et al.
Journal of Chemical Theory and Computation|May 27, 2026
EZPro-Multi: Contrastive Learning-Enhanced Multi-property Prediction for Enzyme EngineeringJianan Sui, Ran Xu, Hui Sun, et al.
IEEE Journal of Biomedical and Health Informatics|October 13, 2025
HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence DesignWen Xu, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|September 21, 2025
Accurate structure prediction of cyclic peptides containing unnatural amino acids using HighFold3Sen Cao, Cheng Zhu, Qingyi Mao, et al.
Materials Science & Engineering. C, Materials for Biological Applications|July 6, 2021
Curcumin-loaded sandwich-like nanofibrous membrane prepared by electrospinning technology as wound dressing for accelerate wound healingKai Chen, Hao Pan, Dongxu Ji, et al.
Molecules (Basel, Switzerland)|May 23, 2020
Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New LevelRenren Bai, Chengyun Zhang, Ling Wang, et al.
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