Author

Songlin Jiang

Northeastern University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein structure· 3 Research Focus:drug response / drug discovery· 2 Research Focus:protein design· 2 Research Focus:benchmarking· 1 Organism:E. coli· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Wengong JiniD· 2 shared Aarti KrishnaniD· 1 shared Charlie Huh· 1 shared Dawei HuangiD· 1 shared Fandi WuiD· 1 shared J GaoiD· 1 shared J J MaiD· 1 shared Jianhua YaoiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMolecular Biology

Wengong JinORCID

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Author profile →

3 papers

Recent·Most cited

FlashBind: Towards Accurate and Efficient Structure-based Virtual Screening

Songlin Jiang, Yifan Chen, Aarti Krishnan, Yu Zhang, Wengong Jin

FlashBind improves drug discovery by offering faster and accurate protein-ligand interaction predictions compared to Boltz-2, with real-world validation in antibiotic screening.

bioRxiv · Aug 21, 2026 · PreprintMolecular Biology

Elucidating enzyme-substrate specificity through co-folding foundation model

Xiwei Cheng, Seonghwan Seo, Charlie Huh, Jihang Chen, Songlin Jiang, Pengkang Guo, Jing‐Ke Weng, Woo Youn Kim, Wengong Jin

This paper introduces Boltz2ESI, a framework predicting enzyme-substrate interactions using a foundation model, outperforming existing methods by capturing active-site plasticity and evolutionary context.

bioRxiv · Aug 2, 2026 · PreprintBioinformatics

IgGM2: An All-Atom Foundation Model for Adaptive Immune Receptor Design

J J Ma, Fandi Wu, Lin Yao, J Gao, Rubo Wang, Qifeng Li, Nianzu Yang, Songlin Jiang, Dawei Huang, Xiaoyong Pan, Yiheng Zhu, Tingjun Hou, Jianhua Yao, Junchi Yan

IgGM2 is an all-atom foundation model for immune receptor design that jointly predicts CDR sequences and full-atom structures, outperforming existing methods in structure prediction and sequence design benchmarks.

bioRxiv · Jul 9, 2026 · PreprintBioinformatics