Results 91 to 100 of about 14,220 (173)

Protein Hypernetworks: a Logic Framework for Interaction Dependencies and Perturbation Effects in Protein Networks [PDF]

open access: yesarXiv, 2011
Motivation: Protein interactions are fundamental building blocks of biochemical reaction systems underlying cellular functions. The complexity and functionality of such systems emerge not from the protein interactions themselves but from the dependencies between these interactions.
arxiv  

Differential Regulation of Cellular Activities by GTPase-Activating Protein and NF1 [PDF]

open access: green, 1993
Nadia Al-Alawi   +5 more
openalex   +1 more source

Sdd3 regulates the biofilm formation of Candida albicans via the Rho1-PKC-MAPK pathway

open access: yesmBio
Candida albicans, the most frequently isolated fungal pathogen in humans, forms biofilms that enhance resistance to antifungal drugs and host immunity, leading to frequent treatment failure.
Li Mei Pang   +10 more
doaj   +1 more source

Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data [PDF]

open access: yesarXiv, 2005
Protein-protein and protein nucleic acid interactions are vitally important for a wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses. We have developed machine learning approaches for predicting which amino acids of a protein participate in its interactions with ...
arxiv  

Loss of GTPase activating protein neurofibromin stimulates paracrine cell communication via macropinocytosis

open access: yesRedox Biology, 2019
Neurofibromin, the protein product of the neurofibromatosis type 1 (NF1) tumor suppressor gene, is a negative regulator of Ras signaling. Patients with mutations in NF1 have a strong predisposition for cardiovascular disease, which contributes to their ...
Pushpankur Ghoshal   +9 more
doaj  

Accurate and efficient protein embedding using multi-teacher distillation learning [PDF]

open access: yesarXiv
Motivation: Protein embedding, which represents proteins as numerical vectors, is a crucial step in various learning-based protein annotation/classification problems, including gene ontology prediction, protein-protein interaction prediction, and protein structure prediction.
arxiv  

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