Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Remi Monasson"'
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 8, p e1003176 (2013)
Various approaches have explored the covariation of residues in multiple-sequence alignments of homologous proteins to extract functional and structural information. Among those are principal component analysis (PCA), which identifies the most correl
Externí odkaz:
https://doaj.org/article/68c16feebb164cbb9f09f23f2fca9ce6
This book is dedicated to the multiple aspects, that is, biological, physical and computational of DNA and RNA molecules. These molecules, central to vital processes, have been experimentally studied by molecular biologists for five decades since the
Autor:
Marta Łuksza, Zachary M. Sethna, Luis A. Rojas, Jayon Lihm, Barbara Bravi, Yuval Elhanati, Kevin Soares, Masataka Amisaki, Anton Dobrin, David Hoyos, Pablo Guasp, Abderezak Zebboudj, Rebecca Yu, Adrienne Kaya Chandra, Theresa Waters, Zagaa Odgerel, Joanne Leung, Rajya Kappagantula, Alvin Makohon-Moore, Amber Johns, Anthony Gill, Mathieu Gigoux, Jedd Wolchok, Taha Merghoub, Michel Sadelain, Erin Patterson, Remi Monasson, Thierry Mora, Aleksandra M. Walczak, Simona Cocco, Christine Iacobuzio-Donahue, Benjamin D. Greenbaum, Vinod P. Balachandran
Publikováno v:
Nature. 606:389-395
Cancer immunoediting1is a hallmark of cancer2that predicts that lymphocytes kill more immunogenic cancer cells to cause less immunogenic clones to dominate a population. Although proven in mice1,3, whether immunoediting occurs naturally in human canc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65b02033b56c443b58e086f5f9943068
https://doi.org/10.1038/s41586-022-04735-9
https://doi.org/10.1038/s41586-022-04735-9
The study of most scientific fields now relies on an ever-increasing amount of data, due to instrumental and experimental progress in monitoring and manipulating complex systems made of many microscopic constituents. How can we make sense of such dat
Autor:
Cyril Malbranke, William Rostain, Florence Depardieu, Simona Cocco, Rémi Monasson, David Bikard
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 11, p e1011621 (2023)
We present here an approach to protein design that combines (i) scarce functional information such as experimental data (ii) evolutionary information learned from a natural sequence variants and (iii) physics-grounded modeling. Using a Restricted Bol
Externí odkaz:
https://doaj.org/article/05b943bf0d4e4bd9be8e836d8265bc37
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 10, p e1011521 (2023)
Predicting the effects of mutations on protein function is an important issue in evolutionary biology and biomedical applications. Computational approaches, ranging from graphical models to deep-learning architectures, can capture the statistical pro
Externí odkaz:
https://doaj.org/article/93d74210f67a445588adcc33de68db4f
Autor:
Barbara Bravi, Andrea Di Gioacchino, Jorge Fernandez-de-Cossio-Diaz, Aleksandra M Walczak, Thierry Mora, Simona Cocco, Rémi Monasson
Publikováno v:
eLife, Vol 12 (2023)
Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key properties underlying effective immune responses. Here we propose diffRBM, an approach based on transfer learning and Restricted Boltzmann Machines, to buil
Externí odkaz:
https://doaj.org/article/3aa7f87a1a4c4800a52f77d2f9c090cd
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025078 (2024)
Boltzmann machines (BMs) are graphical models with interconnected binary units, employed for the unsupervised modeling of data distributions. When trained on real data, BMs show the tendency to behave like critical systems, displaying a high suscepti
Externí odkaz:
https://doaj.org/article/ea1cbbeda81c4921bd183507c8781d45
Autor:
Ruy Gómez-Ocádiz, Massimiliano Trippa, Chun-Lei Zhang, Lorenzo Posani, Simona Cocco, Rémi Monasson, Christoph Schmidt-Hieber
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Memory formation and recall are complementary processes within the hippocampus. Here the authors demonstrate a synaptic signal of novelty in the hippocampus and provide a computational framework for how such a novelty-driven switch may enable flexibl
Externí odkaz:
https://doaj.org/article/6fb149d6d7df4f85895b7ddd27e1ac86
Publikováno v:
eLife, Vol 12 (2023)
Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swim
Externí odkaz:
https://doaj.org/article/144b55d93cf5414582199b06892631a7