Author

Brandon Lam

Rockefeller 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· 1 Neuroscience· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 2 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:statistical model· 2 Approach:diffusion model· 1 Approach:experimental assay· 1

Frequent Co-Authors

Assaf AloniD· 2 shared Chao YangiD· 2 shared Claire Bryant· 2 shared Jiankun LyuiD· 2 shared Aakash DavasamiD· 1 shared Aditi JhaiD· 1 shared Alex FornitoiD· 1 shared Annie G. BryantiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPharmacology & Toxicology

Assaf AlonORCID

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Author profile →

3 papers

Recent·Most cited

AlphaFold3 for Structure-guided Ligand Discovery

Kartikeya M. Menon, Aakash Davasam, Guo Chen, Claire Bryant, Zifang Deng, Brandon Lam, Chao Yang, Dylan Barcelos, Fangyu Liu, Assaf Alon, Jiankun Lyu

Retrospective and prospective benchmarks show AlphaFold3 co-folding memorizes training poses and achieves half the prospective hit rate of DOCK3 at 6,700-fold higher cost, but excels as a post-docking filter.

bioRxiv · Jun 12, 2026 · PreprintPharmacology & Toxicology✦ In-depth digest

Combinatorial docking and molecular generation to navigate over 100-billion molecules for prospective ligand discovery

Jianxiang Zhang, Chao Yang, Yu Zhang, Xiao Chen, Brandon Lam, Claire Bryant, Shabareesh Pidathala, Yangzhi Wang, Yurii Moroz, Dmytro S. Radchenko, Assaf Alon, Chia‐Hsueh Lee, Zhe Zhang, Jiankun Lyu

The paper introduces CombiDOCK and MINT-Dock to efficiently screen large molecule libraries for ligand discovery, achieving high hit rates and computational efficiency.

bioRxiv · Jun 11, 2026 · PreprintBioinformatics

Benchmarking overlapping community detection methods for applications in human connectomics

Annie G. Bryant, Aditi Jha, Sumeet Agarwal, Patrick Cahill, Brandon Lam, Stuart Oldham, Aurina Arnatkevičiūtė, Alex Fornito, Ben Fulcher

The paper benchmarks overlapping community detection methods on human connectomes, finding OSLOM best identifies overlapping structures and reveals hierarchical cortical organization.

Network Neuroscience · Aug 22, 2025Peer-reviewedNeuroscience