Author

L. Monticelli

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Research Focus:software / tool· 1

Frequent Co-Authors

P. C. T. Souza· 2 shared S. J. Marrink· 2 shared V. Nieto· 2 shared A. B. Poma· 1 shared A. C. Borges-Araujo· 1 shared C. Brasnett· 1 shared C. Hilpert· 1 shared D. E. S. Santos· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

P. C. T. Souza

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GoMartini 3: From large conformational changes in proteins to environmental bias corrections

P. C. T. Souza, L. P. Borges Araujo, C. Brasnett, R. A. Moreira, F. Grunewald, P. Park, L. Wang, H. Razmazma, A. C. Borges-Araujo, L. F. Cofas-Vargas, L. Monticelli, R. Mera-Adasme, M. N. Melo, S. Wu, S. J. Marrink, , S. Thallmair

This paper introduces an enhanced G[o]Martini model that improves protein dynamics simulation and addresses inaccuracies in the Martini protein model through diverse case studies.

bioRxiv · Apr 15, 2024Biophysics

Birth of an organelle: molecular mechanism of lipid droplet biogenesis

V. Nieto, J. Crowley, D. E. S. Santos, L. Monticelli

This study identifies the molecular mechanism of lipid droplet biogenesis using computer simulations, showing that budding occurs due to membrane asymmetry and seipin's role in stabilizing ER-LD contact sites.

bioRxiv · Jul 28, 2023 · PreprintBiophysics

Facilitating CG simulations with MAD: theMArtini Database Server

C. Hilpert, L. Beranger, P. C. T. Souza, P. A. Vainikka, V. Nieto, S. J. Marrink, L. Monticelli, G. Launay

The paper introduces MAD, a web server for generating and managing coarse-grained molecular models for simulations using the Martini force field.

bioRxiv · Aug 3, 2022Biophysics