Yanzhi Guo
Orcid: 0000-0003-2087-2757Affiliations:
- Sichuan University, Chengdu, China
According to our database1,
Yanzhi Guo
authored at least 19 papers
between 2011 and 2023.
Collaborative distances:
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Bibliography
2023
Attention Mechanism-Based Graph Neural Network Model for Effective Activity Prediction of SARS-CoV-2 Main Protease Inhibitors: Application to Drug Repurposing as Potential COVID-19 Therapy.
J. Chem. Inf. Model., November, 2023
Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes.
Comput. Biol. Medicine, July, 2023
General Graph Neural Network-Based Model To Accurately Predict Cocrystal Density and Insight from Data Quality and Feature Representation.
J. Chem. Inf. Model., February, 2023
2022
Probing Allosteric Regulation Mechanism of W7.35 on Agonist-Induced Activity for μOR by Mutation Simulation.
J. Chem. Inf. Model., 2022
Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime.
J. Chem. Inf. Model., 2022
An Interpretable Convolutional Neural Network Framework for Analyzing Molecular Dynamics Trajectories: a Case Study on Functional States for G-Protein-Coupled Receptors.
J. Chem. Inf. Model., 2022
Biased Activation Mechanism Induced by GPCR Heterodimerization: Observations from μOR/δOR Dimers.
J. Chem. Inf. Model., 2022
2020
The landscape of miRNA-related ceRNA networks for marking different renal cell carcinoma subtypes.
Briefings Bioinform., 2020
2019
Molecular Mechanism Regarding Allosteric Modulation of Ligand Binding and the Impact of Mutations on Dimerization for CCR5 Homodimer.
J. Chem. Inf. Model., 2019
2018
Individually double minimum-distance definition of protein-RNA binding residues and application to structure-based prediction.
J. Comput. Aided Mol. Des., 2018
2017
Effective prediction of bacterial type IV secreted effectors by combined features of both C-termini and N-termini.
J. Comput. Aided Mol. Des., 2017
2015
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.
J. Comput. Aided Mol. Des., 2015
Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
Comput. Biol. Chem., 2015
2014
A functional feature analysis on diverse protein-protein interactions: application for the prediction of binding affinity.
J. Comput. Aided Mol. Des., 2014
2013
In silico identification of Gram-negative bacterial secreted proteins from primary sequence.
Comput. Biol. Medicine, 2013
2012
Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine.
Comput. Biol. Medicine, 2012
Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions.
Comput. Biol. Chem., 2012
Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes.
Comput. Biol. Chem., 2012
2011
Comput. Biol. Chem., 2011