Author

B. K. Poon

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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Biochemistry· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein structure· 3 Research Focus:protein structure prediction· 3 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

J. S. Richardson· 3 shared P. D. Adams· 3 shared R. J. Read· 3 shared T. C. Terwilliger· 3 shared A. J. McCoy· 2 shared C. J. Williams· 2 shared P. Afonine· 2 shared R. D. Oeffner· 2 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBiochemistry

J. S. Richardson

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Author profile →

3 papers

Recent·Most cited

AlphaFold predictions are valuable hypotheses, and accelerate but do not replace experimental structure determination

T. C. Terwilliger, D. L. Leibschner, T. Croll, C. J. Williams, A. J. McCoy, B. K. Poon, P. Afonine, R. D. Oeffner, J. S. Richardson, R. J. Read, P. D. Adams

The paper evaluates high-confidence AlphaFold predictions against experimental crystal structures, showing they are accurate but require experimental validation for detailed structural features.

bioRxiv · Nov 21, 2022Biochemistry

Accelerating crystal structure determination with iterative AlphaFold prediction

T. C. Terwilliger, P. V. Afonine, D. Liebschner, T. I. Croll, A. J. McCoy, R. D. Oeffner, C. J. Williams, B. K. Poon, J. S. Richardson, R. J. Read, P. D. Adams

This paper introduces an iterative AlphaFold method to accelerate crystal structure determination using sequence and crystallographic data, achieving higher accuracy than non-iterative approaches.

bioRxiv · Nov 18, 2022Biochemistry

Improved AlphaFold modeling with implicit experimental information

T. C. Terwilliger, B. K. Poon, P. Afonine, C. J. Schlicksup, T. I. Croll, C. Millan-Nebot, J. S. Richardson, R. J. Read, P. D. Adams

The paper improves AlphaFold modeling by incorporating experimental density maps iteratively, resulting in more accurate protein structure predictions.

bioRxiv · Jan 7, 2022Biochemistry