Yanjing Wang
Orcid: 0000-0001-6826-1635Affiliations:
- Shanghai Jiao Tong University, School of Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, China (PhD 2019)
According to our database1,
Yanjing Wang
authored at least 15 papers
between 2021 and 2023.
Collaborative distances:
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Bibliography
2023
Inhibition of cMYC-MAX transcription factors hetero-dimerization with structurally engineered omoMYC to downregulate oncogenic pathways in renal carcinoma.
Comput. Biol. Medicine, September, 2023
Proteomics-based vaccine targets annotation and design of subunit and mRNA-based vaccines for Monkeypox virus (MPXV) against the recent outbreak.
Comput. Biol. Medicine, June, 2023
2022
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design.
Nat. Mach. Intell., 2022
Evaluation and identification of essential therapeutic proteins and vaccinomics approach towards multi-epitopes vaccine designing against <i>Legionella pneumophila</i> for immune response instigation.
Comput. Biol. Medicine, 2022
Discovering potent inhibitors against the Mpro of the SARS-CoV-2. A medicinal chemistry approach.
Comput. Biol. Medicine, 2022
Subtractive proteomics assisted therapeutic targets mining and designing ensemble vaccine against <i>Candida auris</i> for immune response induction.
Comput. Biol. Medicine, 2022
A protein coupling and molecular simulation analysis of the clinical mutants of androgen receptor revealed a higher binding for Leupaxin, to increase the prostate cancer invasion and motility.
Comput. Biol. Medicine, 2022
MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism.
Briefings Bioinform., 2022
2021
Bioinformatics analysis of the differences in the binding profile of the wild-type and mutants of the SARS-CoV-2 spike protein variants with the ACE2 receptor.
Comput. Biol. Medicine, 2021
MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information.
Comput. Biol. Medicine, 2021
Irinotecan and vandetanib create synergies for treatment of pancreatic cancer patients with concomitant TP53 and KRAS mutations.
Briefings Bioinform., 2021
NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods.
Briefings Bioinform., 2021
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph.
Briefings Bioinform., 2021
DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.
Briefings Bioinform., 2021
Prediction of Blood-Brain Barrier Permeability of Compounds by Fusing Resampling Strategies and eXtreme Gradient Boosting.
IEEE Access, 2021