Jiangning Song

Discovery Institute — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

64h-index14.2kcitations449works6.42yr avg
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Research Topics

Machine Learning in Bioinformatics(159), RNA and protein synthesis mechanisms(89), Protein Structure and Dynamics(67), Genomics and Phylogenetic Studies(65), Bioinformatics and Genomic Networks(54)

Publications446 total

Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models
Genome biology·2026Open Access
Identification and validation of an 11-kinase signature that predicts chemo- and radiosensitivity in gastric cancer
EBioMedicine·2026Open Access
Genome-wide reconstruction of the intrinsic apoptosis pathway in Haemonchus contortus
BMC Genomics·2026Open Access
Wildfire-sourced fine particulate matter and mental disorders in children and adolescents
Nature Mental Health·2026
High-parameter spatial multi-omics through histology-anchored integration
Nature Methods·2025· 3 cited
Identification of a novel antimicrobial peptide Gp-AMP1 with broad-spectrum and exceptional stability from deep-sea mussel Gigantidas platifrons
Food Chemistry·2025
A scalable equivariant graph network framework for precise protein function prediction
Genome biology·2025· 1 citedOpen Access
Multimodal AI Decodes Extreme Environment Functional Dark Matter Beyond Homology
2025
Deep learning speeds the search for new antibiotic scaffolds
Nature Biotechnology·2025· 1 cited
Learning conformational flexibility of immune receptors
Nature Machine Intelligence·2025
Genome-Wide Inference of Essential Genes in Dirofilaria immitis Using Machine Learning
International Journal of Molecular Sciences·2025· 1 citedOpen Access
Complex pathways to ceftolozane-tazobactam resistance in clinical Pseudomonas aeruginosa isolates: a genomic epidemiology study
Clinical Microbiology and Infection·2025Open Access
Integrating Graph Convolutional Networks for Missing Gene Expression Imputation
IEEE Transactions on Computational Biology and Bioinformatics·2025
BiVAE-CPI: An Interpretable Generative Model Using a Bilateral Variational Autoencoder for Compound–Protein Interaction Prediction
Journal of Chemical Information and Modeling·2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions
Journal of Chemical Information and Modeling·2025· 2 cited
AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction
2025Open Access
De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning
2025Open Access
ENGINE: A Scalable Equivariant Graph Network Framework for Precise Protein Function Prediction
2025· 2 citedOpen Access
Self-iterative multiple-instance learning enables the prediction of CD4+ T cell immunogenic epitopes
Nature Machine Intelligence·2025· 2 citedOpen Access
Dual-Branch Contrastive Network with Deep Separable Convolution for Enhanced 6mA Site Identification
Journal of Chemical Information and Modeling·2025
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Frequent Co-authors

Fuyi Li(25), Tatsuya Akutsu(21), Geoffrey I. Webb(20), André Leier(19), Tatiana T. Marquez‐Lago(16), Kuo‐Chen Chou(13), Chen Li(11), A. Ian Smith(9), Zhen Chen(7), Jian Li(7), Trevor Lithgow(7), Yanan Wang(6), Roger J. Daly(6), Jiawei Wang(6), Ziding Zhang(6), Pei Zhao(5), Jerico Revote(5), Cangzhi Jia(5), James C. Whisstock(4), Dongxu Xiang(4)