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Jacob Verburgt

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018Rising activity
Protein Structure and DynamicsEnzyme Structure and FunctionRNA and protein synthesis mechanismsComputational Drug Discovery MethodsMachine Learning in Bioinformatics

Publications

32

Citations

566

Est. group size

~16

Recurring co-author estimate

Active years

8

Publishing since 2018

Research summary
AI-generated

Jacob Verburgt's work focuses on understanding protein structure and the interactions between atoms within and between proteins, with applications to computational modeling and structure prediction. Recent work includes evaluating tools like AlphaFold for predicting protein complex structures and building computational frameworks for analyzing large-scale computing clusters used in this kind of research. This research sits at the intersection of biochemistry, structural biology, and computational methods including machine learning.

Protein structure and interactionsComputational modeling of biomoleculesProtein complex structure prediction (e.g., AlphaFold)Machine learning in bioinformaticsResearch computing infrastructure

Publication output has been variable but generally increasing over the last decade, with a notable rise in output during 2021, 2023, and especially 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.2/year recently
172018: 1 publication182019: 1 publication19202021: 9 publications212022: 1 publication222023: 6 publications232024: 4 publications242025: 10 publications102526
Recent publications
Publishes in
  • Proteins Structure Function and Bioinformatics×7
  • bioRxiv (Cold Spring Harbor Laboratory)×4
  • PROTEOMICS×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
  • Purdue×2
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By research-topic overlap
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  • Daisuke Kihara

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  • Chiwook Park

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  • Tsukasa Nakamura

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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