Author

J. Christopher Anderson

QB3ORCID 0000-0002-9115-7323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Arjun Chandran· 1 shared Cassandra Areff· 1 shared Chen‐Yan ZhangiD· 1 shared Connor J. TouiD· 1 shared Daphne YangiD· 1 shared Daven LimiD· 1 shared Doris Tai· 1 shared Eshaan Mistry· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Arjun Chandran

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Author profile →

3 papers

Recent·Most cited

EVODEX: A Mechanistic Framework for Extracting, Structuring, and Predicting Enzymatic Reactivity

Lais Lastre Conceicao, Haohong Lin, Doris Tai, Gongao Xue, Han Zhang, Chen‐Yan Zhang, J. Christopher Anderson

EVODEX extracts and predicts enzymatic reactivity by defining partial reactions and Electronic Reaction Operators, achieving high accuracy in formula and mechanistic levels.

bioRxiv · Jun 19, 2025 · PreprintBioinformatics

Interpreting biochemical text with language models:a machine learning framework for reaction extraction and cheminformatic validation

Daven Lim, Swathi Badrinarayanan, Kira Sterling, Guru Rajesh, Eshaan Mistry, Daphne Yang, Max Lee, Kenneth Bryan Hsu, Mrunali Manjrekar, Cassandra Areff, Phil Xie, Ivan Kristanto, Arjun Chandran, J. Christopher Anderson

This paper presents a framework using LLMs and cheminformatics to extract and validate enzymatic reactions from scientific text, showing accurate inference of incomplete reactions.

bioRxiv · May 15, 2025 · PreprintBioinformatics

Enabling AI in Synthetic Biology through Construction File Specification

Nassim N. Ataii, Sanjyot Bakshi, Yisheng Chen, Michael Fernandez, Zihang Shao, Zachary Scheftel, Connor J. Tou, Mia Vega, Yuting Wang, Hanxiao Zhang, Zexuan Zhao, J. Christopher Anderson

This paper introduces a standardized Construction File specification for synthetic biology, enabling AI integration to automate experiment design and reduce errors.

PLoS ONE · Nov 13, 2023Peer-reviewedSynthetic Biology