Author

Liam James McGuffin

University of ReadingORCID 0000-0003-4501-4767Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 4 Approach:statistical model· 4 Research Focus:benchmarking· 3 Research Focus:protein structure prediction· 3 Approach:benchmark study· 2 Organism:C. elegans· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Ahmet G GenciD· 2 shared Nicholas S. EdmundsiD· 2 shared Ali H. A. Maghrabi· 1 shared Arne ElofssoniD· 1 shared Balachandran ManavalaniD· 1 shared Björn WallneriD· 1 shared Chen KeasariD· 1 shared Claudia ManzoniiD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Ahmet G GencORCID

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 15, 2023

Benchmarking of AlphaFold2 accuracy self-estimates as empirical quality measures and model ranking indicators and their comparison with independent model quality assessment programs.

Nicholas S. Edmunds, Ahmet G Genc, Liam James McGuffin

This paper benchmarks AlphaFold2's self-estimates (plDDT, pTM) against independent quality assessment programs and evaluates their reliability for tertiary and quaternary structure models.

1 citation

protein structurestatistical model

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BioinformaticsbioRxivPreprintDec 6, 2022

Improvement of protein tertiary and quaternary structure predictions using the ReFOLD4 refinement method and the AlphaFold2 recycling process

Recep Adiyaman, Nicholas S. Edmunds, Ahmet G Genc…·Liam James McGuffin

The paper improves protein structure predictions by combining ReFOLD4 and AlphaFold2 recycling, enhancing model accuracy and conformational landscape representation.

1 citation

protein structuredeep learning

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BioinformaticsCell Communication and SignalingPeer-reviewedJun 11, 2020

PINOT: An Intuitive Resource for Integrating Protein-Protein Interactions

James E. Tomkins, Raffaele Ferrari, Nikoleta Vavouraki…·Claudia Manzoni

PINOT is a web tool that integrates and curates protein-protein interaction data from multiple sources to construct PPI networks for human and C. elegans.

33 citations

humanC. elegans

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BioinformaticsProteins Structure Function and BioinformaticsPeer-reviewedOct 4, 2017

Methods For Estimation Of Model Accuracy In CASP12

Arne Elofsson, Keehyoung Joo, Chen Keasar…·Björn Wallner

The paper describes methods for estimating model accuracy in protein structure predictions, showing improvements in single model accuracy over previous methods.

34 citations

protein structurestatistical model

𝕏 PostBluesky