Janet M. Thornton
Affiliations: | European Bioinformatics Institute, Hinxton, England, United Kingdom |
Area:
protein structures and sequences using computational approachesWebsite:
http://www.ebi.ac.uk/about/people/janet-thorntonGoogle:
"Janet M. Thornton"Bio:
http://www.nasonline.org/member-directory/members/20004894.html
PNAS Profile of Janet M. Thornton
Cross-listing: Chemistry Tree
Parents
Sign in to add mentorPeter M. Bayley | grad student | 1973 | National Institute for Medical Research |
David Chilton Phillips | post-doc | 1973-1979 | Oxford |
Tom Blundell | research scientist | 1979-1990 | Birkbeck College |
Children
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Publications
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Ribeiro AJM, Riziotis IG, Borkakoti N, et al. (2023) Enzyme function and evolution through the lens of bioinformatics. The Biochemical Journal. 480: 1845-1863 |
Hasenahuer MA, Sanchis-Juan A, Laskowski RA, et al. (2022) Mapping the Constrained Coding Regions in the human genome to their corresponding proteins. Journal of Molecular Biology. 167892 |
Akdel M, Pires DEV, Pardo EP, et al. (2022) A structural biology community assessment of AlphaFold2 applications. Nature Structural & Molecular Biology |
Riziotis IG, Thornton JM. (2022) Capturing the geometry, function, and evolution of enzymes with 3D templates. Protein Science : a Publication of the Protein Society. 31: e4363 |
Riziotis IG, Ribeiro AJM, Borkakoti N, et al. (2022) Conformational Variation in Enzyme Catalysis: A Structural Study on Catalytic Residues. Journal of Molecular Biology. 434: 167517 |
Laskowski RA, Thornton JM. (2021) PDBsum extras: SARS-CoV-2 and AlphaFold models. Protein Science : a Publication of the Protein Society |
Thornton JM, Laskowski RA, Borkakoti N. (2021) AlphaFold heralds a data-driven revolution in biology and medicine. Nature Medicine. 27: 1666-1669 |
Magraner-Pardo L, Laskowski RA, Pons T, et al. (2021) A computational and structural analysis of germline and somatic variants affecting the DDR mechanism, and their impact on human diseases. Scientific Reports. 11: 14268 |
Ochoa R, Laskowski RA, Thornton JM, et al. (2021) Impact of Structural Observables From Simulations to Predict the Effect of Single-Point Mutations in MHC Class II Peptide Binders. Frontiers in Molecular Biosciences. 8: 636562 |
Ochoa R, Magnitov M, Laskowski RA, et al. (2020) An automated protocol for modelling peptide substrates to proteases. Bmc Bioinformatics. 21: 586 |