Author

M. Molari

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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Biophysics· 1 Evolutionary Biology· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 2 Assay:proteomics· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1

Frequent Co-Authors

R. Monasson· 2 shared S. Cocco· 2 shared A. Di Gioacchino· 1 shared H. R. Gruber-Vodicka· 1 shared J. Baudry· 1 shared J. Petersen· 1 shared J. Procyk· 1 shared J. S. Schreck· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBiophysics

R. Monasson

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Evolutionary dynamics of genome structure and content among closely related bacteria

M. Molari, L. P. Shaw, R. A. Neher

The paper analyzes genome evolution in closely related E. coli ST131 strains, finding more accessory genome structural changes than core genome mutations, with most structural changes being short-lived and deleterious.

bioRxiv · Jul 8, 2024 · PreprintEvolutionary Biology

Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection

A. Di Gioacchino, J. Procyk, M. Molari, J. S. Schreck, Y. Zhou, Y. Liu, R. Monasson, S. Cocco, P. Sulc

This study uses Restricted Boltzmann Machines to analyze SELEX data for thrombin aptamers, enabling sequence fitness estimation, classification, and novel molecule generation, which is validated experimentally.

bioRxiv · Mar 12, 2022Biophysics

The hidden pangenome: comparative genomics reveals pervasive diversity in symbiotic and free-living sulfur-oxidizing bacteria

R. Ansorge, S. Romano, L. Sayavedra, M. Rubin-Blum, H. R. Gruber-Vodicka, S. Scilipoti, M. Molari, N. Dubilier, J. Petersen

The paper performs comparative genomic analysis of Thioglobaceae bacteria to reveal pervasive intra-specific diversity and a hidden pangenome contributing to their evolutionary success.

bioRxiv · Dec 11, 2020 · PreprintMicrobiology

Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centers

M. Molari, K. Eyer, J. Baudry, S. Cocco, R. Monasson

This study models how antigen dosage affects B-cell affinity distributions in germinal centers and shows non-monotonic relationships between antigen levels and average affinity.

bioRxiv · May 22, 2020Immunology