Author

M. Marti-Solano

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 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:structural biology· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Gonzalez· 1 shared A. Morales-Pastor· 1 shared A. Pearce· 1 shared A. Sztyler· 1 shared A. Varela-Rial· 1 shared B. K. Kobilka· 1 shared B. Medel Lacruz· 1 shared D. Aranda-Garcia· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperBiophysics

A. Gonzalez

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Author profile →

3 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintSep 1, 2022

Cancer-Associated Mutations Enhance The Sensitivity Of The Trupath GαQ/11 System

D. Safitri, M. Harris, A. Pearce…·G. Ladds

The paper modifies Gq and G11 biosensors to enhance sensitivity for detecting Gq/11 activation in GPCRs, including those with cancer-associated mutations.

DOI 10.1101/2022.09.01.506210

proteomicsexperimental assay

BiochemistrybioRxivSep 14, 2021

Dissecting the allosteric networks governing agonist efficacy and potency in G protein-coupled receptors

F. M. Heydenreich, M. Marti-Solano, M. Sandhu…·M. M. Babu

The paper integrates residue-level pharmacology data with structural contact data to uncover allosteric networks that govern ligand efficacy and potency in GPCRs.

DOI 10.1126/science.adh1859

structural biologystatistical model

BiophysicsNature MethodsPeer-reviewedJul 13, 2020

GPCRmd uncovers the dynamics of the 3D-GPCRome

I. Rodriguez-Espigares, M. Torrens-Fontanals, J. K. S. Tiemann…·Wein

GPCRmd provides an online platform for visualizing and analyzing GPCR molecular dynamics simulations, demonstrating its utility through analyses of internal water networks and sodium ion interactions.

DOI 10.1038/s41592-020-0884-y

structural biologydeep learning