Author

M. P. Martin

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· 1 Biophysics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

A. aimon· 1 shared A. Carberry· 1 shared A. Carrara· 1 shared A. Dias· 1 shared A. Douangamath· 1 shared A. Keely· 1 shared A. L. George· 1 shared A. Powell· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

A. aimon

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling

A. L. George, F. R. Sidgwick, J. E. Watt, M. P. Martin, M. Trost, J. L. Marin-Rubio, M. E. Duenas

This study compares DIA-based label-free quantification methods with TMT-DDA for thermal proteome profiling, finding DIA approaches are comparable or better for detecting drug target engagement.

bioRxiv · Feb 15, 2023Biochemistry

Crystallographic and electrophilic fragment screening of the SARS-CoV-2 main protease

A. Douangamath, D. Fearon, P. Gehrtz, T. Krojer, P. Lukacik, C. D. Owen, E. Resnick, C. Strain-Damerell, A. aimon, P. Abranyi-Balogh, J. Brandao-Neto, A. Carberry, G. Davison, A. Dias, T. D. Downes, , M. A. Walsh

The paper identifies fragment hits against SARS-CoV-2 main protease using crystallography and mass spectrometry, revealing structural insights for drug design.

bioRxiv · May 27, 2020Biophysics

senSCOPE: Modeling radiative transfer and biochemical processes in mixed canopies combining green and senescent leaves with SCOPE

J. Pacheco-Labrador, T. S. El-Madany, C. van der Tol, M. P. Martin, R. Gonzalez-Cascon, O. Perez-Priego, J. Guan, G. Moreno, A. Carrara, M. Reichstein, M. Migliavacca

senSCOPE improves canopy modeling by incorporating green and senescent leaves, enhancing parameter estimation in mixed ecosystems.

bioRxiv · Feb 5, 2020 · PreprintEcology