Daniel Buchan

Institute of Structural and Molecular Biology — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

21h-index9.2kcitations38works8.92yr avg
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Research Topics

Machine Learning in Bioinformatics(18), Genomics and Phylogenetic Studies(17), RNA and protein synthesis mechanisms(13), Protein Structure and Dynamics(8), Single-cell and spatial transcriptomics(6)

Publications37 total

Improving cell-type identification with generative adversarial networks-enhanced augmentation-free single-cell RNA-Seq contrastive learning
2025· 1 citedOpen Access
An extensive evaluation of single-cell RNA-Seq contrastive learning generative networks for intrinsic cell-types distribution estimation
2025Open Access
Less is more: improving cell-type identification with augmentation-free single-cell RNA-Seq contrastive learning
Bioinformatics·2025· 2 citedOpen Access
Foldclass and Merizo-search: scalable structural similarity search for single- and multi-domain proteins using geometric learning
Bioinformatics·2025· 4 citedOpen Access
Characterising Protein Search Drift using exhaustive protein search and Alphafold2
2024Open Access
Designing minimal <i>E. coli</i> genomes using variational autoencoders
2024Open Access
Deep learning for the PSIPRED Protein Analysis Workbench
Nucleic Acids Research·2024· 55 citedOpen Access
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning
Briefings in Functional Genomics·2023· 4 citedOpen Access
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning
2023Open Access
Improving cell-type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning
2022Open Access
Locked Up and Locked Down: How the Covid-19 Pandemic has Impacted the Mental Health of Male Prisoners and Support Staff
Journal of Men s Health·2022· 10 citedOpen Access
The Genome3D Consortium for Structural Annotations of Selected Model Organisms
Methods in molecular biology·2020· 12 cited
Learning a functional grammar of protein domains using natural language word embedding techniques
Proteins Structure Function and Bioinformatics·2019· 32 cited
Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation
Nucleic Acids Research·2019· 14 citedOpen Access
Inferring Protein Domain Semantic Roles Using word2vec
2019· 2 citedOpen Access
The PSIPRED Protein Analysis Workbench: 20 years on
Nucleic Acids Research·2019· 1.4k citedOpen Access
Improved protein contact predictions with the MetaPSICOV2 server in CASP12
Proteins Structure Function and Bioinformatics·2017· 58 citedOpen Access
Predictions of Backbone Dynamics in Intrinsically Disordered Proteins Using De Novo Fragment-Based Protein Structure Predictions
Scientific Reports·2017· 12 citedOpen Access
EigenTHREADER: analogous protein fold recognition by efficient contact map threading
Bioinformatics·2017· 64 citedOpen Access
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Frequent Co-authors

David T. Jones(17), Christine Orengo(10), Ibrahim Alsaggaf(7), Cen Wan(7), Ian Sillitoe(6), Julian Gough(5), Michael J.E. Sternberg(5), Kevin Bryson(4), Domenico Cozzetto(4), Janet M. Thornton(4), David Lee(4), Frances M. G. Pearl(4), Tom L. Blundell(4), Lawrence A. Kelley(4), Alexey G. Murzin(4), Federico Minneci(3), James E. Bray(3), Antonina Andreeva(3), Sameer Velankar(3), Massimiliano Pontil(2)