Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Rafael Najmanovich"'
Autor:
Danny Létourneau, Aurélien Lorin, Andrée Lefebvre, Vincent Frappier, Francis Gaudreault, Rafael Najmanovich, Pierre Lavigne, Jean-Guy LeHoux
Publikováno v:
Journal of Lipid Research, Vol 53, Iss 12, Pp 2677-2689 (2012)
Steroidogenic acute regulatory-related lipid transfer (START) domain proteins are involved in the nonvesicular intracellular transport of lipids and sterols. The STARD1 (STARD1 and STARD3) and STARD4 subfamilies (STARD4–6) have an internal cavity l
Externí odkaz:
https://doaj.org/article/3e20e8ba00a143d4839f5733c94465a5
Publikováno v:
PeerJ, Vol 1, p e126 (2013)
Human protein kinases play fundamental roles mediating the majority of signal transduction pathways in eukaryotic cells as well as a multitude of other processes involved in metabolism, cell-cycle regulation, cellular shape, motility, differentiation
Externí odkaz:
https://doaj.org/article/a1e66c0ff6454c7dbd0cdd089035490f
Publikováno v:
F1000Research, Vol 2 (2013)
IsoCleft Finder is a web-based tool for the detection of local geometric and chemical similarities between potential small-molecule binding cavities and a non-redundant dataset of ligand-bound known small-molecule binding-sites. The non-redundant dat
Externí odkaz:
https://doaj.org/article/0f7b9a4f847a40a4b3836538fa6c4eb2
Autor:
Abdellah Allali-Hassani, Patricia W Pan, Ludmila Dombrovski, Rafael Najmanovich, Wolfram Tempel, Aiping Dong, Peter Loppnau, Fernando Martin, Janet Thornton, Aled M Edwards, Alexey Bochkarev, Alexander N Plotnikov, Masoud Vedadi, Cheryl H Arrowsmith
Publikováno v:
PLoS Biology, Vol 5, Iss 5, p e97 (2007)
The human cytosolic sulfotransfases (hSULTs) comprise a family of 12 phase II enzymes involved in the metabolism of drugs and hormones, the bioactivation of carcinogens, and the detoxification of xenobiotics. Knowledge of the structural and mechanist
Externí odkaz:
https://doaj.org/article/b16aa60a578740d2ac8dcb3a1c09342a
Computational methods for the quantification and visualization of the relative contribution of molecular interactions to the stability of biomolecular structures and complexes are fundamental to understand, modulate and engineer biological processes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::709c586cebfcd055c0a736dcdd95c300
https://doi.org/10.1101/2023.04.26.538470
https://doi.org/10.1101/2023.04.26.538470
Publikováno v:
Bioinformatics. 39
The DynaSig-ML (‘Dynamical Signatures–Machine Learning’) Python package allows the efficient, user-friendly exploration of 3D dynamics–function relationships in biomolecules, using datasets of experimental measures from large numbers of seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef6d4b1422d8006a2cd6a40715cd872
https://doi.org/10.1093/bioinformatics/btad180
https://doi.org/10.1093/bioinformatics/btad180
Autor:
Marielle Huot, Chantal Richer, Rahinatou Djibo, Rafael Najmanovich, Daniel Sinnett, Noël J.-M. Raynal, Maxime Caron, Pascal St-Onge
Publikováno v:
Cancer Chemotherapy and Pharmacology. 88:845-856
Embryonal rhabdomyosarcoma (eRMS) is the most common type of rhabdomyosarcoma in children. eRMS is characterized by malignant skeletal muscle cells driven by hyperactivation of several oncogenic pathways including the MYC pathway. Targeting MYC in ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd098507a54b5609f9989cfc5a2f77e
https://doi.org/10.1007/s00280-021-04339-6
https://doi.org/10.1007/s00280-021-04339-6
Summary: The DynaSig-ML (Dynamical Signatures - Machine Learning) Python package allows the efficient, user-friendly exploration of 3D dynamics-function relationships in biomolecules, using datasets of experimental measures from large numbers of sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc477d0309466ff0e3f8ef2d1de3f6f2
https://doi.org/10.1101/2022.07.06.499058
https://doi.org/10.1101/2022.07.06.499058
The Elastic Network Contact Model (ENCoM) is a coarse-grained normal mode analysis (NMA) model unique in its all-atom sensitivity to the sequence of the studied macromolecule and thus to the effect of mutations. We adapted ENCoM to simulate the dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2212c5a96e487e4a14febb3cf0d1333d
https://doi.org/10.1101/2022.06.09.495567
https://doi.org/10.1101/2022.06.09.495567
Autor:
Somnath Pandey, Rahinatou Djibo, Anaïs Darracq, Gennaro Calendo, Hanghang Zhang, Ryan A. Henry, Andrew J. Andrews, Stephen B. Baylin, Jozef Madzo, Rafael Najmanovich, Jean-Pierre J. Issa, Noël J.-M. Raynal
Publikováno v:
Cancers; Volume 14; Issue 14; Pages: 3340
Aberrant transcription in cancer cells involves the silencing of tumor suppressor genes (TSGs) and activation of oncogenes. Transcriptomic changes are associated with epigenomic alterations such as DNA-hypermethylation, histone deacetylation, and chr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0f60ee5ead9224e5c7fe751e8c2e539
https://pubmed.ncbi.nlm.nih.gov/35884401
https://pubmed.ncbi.nlm.nih.gov/35884401