Results 51 to 60 of about 682,160 (320)

Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells

open access: yesFEBS Letters, EarlyView.
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga   +6 more
wiley   +1 more source

Protein Inference and Protein Quantification: Two Sides of the Same Coin [PDF]

open access: yesarXiv, 2012
Motivation: In mass spectrometry-based shotgun proteomics, protein quantification and protein identification are two major computational problems. To quantify the protein abundance, a list of proteins must be firstly inferred from the sample. Then the relative or absolute protein abundance is estimated with quantification methods, such as spectral ...
arxiv  

The multiple roles of the NlpC_P60 peptidase family in mycobacteria – an underexplored target for antimicrobial drug discovery

open access: yesFEBS Letters, EarlyView.
The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva   +1 more
wiley   +1 more source

Regulation of antibody-mediated complement-dependent cytotoxicity by modulating the intrinsic affinity and binding valency of IgG for target antigen

open access: yesmAbs, 2020
Complement-dependent cytotoxicity (CDC) is a potent effector mechanism, engaging both innate and adaptive immunity. Although strategies to improve the CDC activity of antibody therapeutics have primarily focused on enhancing the interaction between the ...
Bo Wang   +6 more
doaj   +1 more source

Learning Geometrically Disentangled Representations of Protein Folding Simulations [PDF]

open access: yesarXiv, 2022
Massive molecular simulations of drug-target proteins have been used as a tool to understand disease mechanism and develop therapeutics. This work focuses on learning a generative neural network on a structural ensemble of a drug-target protein, e.g. SARS-CoV-2 Spike protein, obtained from computationally expensive molecular simulations.
arxiv  

Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms

open access: yesFEBS Letters, EarlyView.
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze   +3 more
wiley   +1 more source

Metformin Inhibits Tumor Metastasis through Suppressing Hsp90α Secretion in an AMPKα1-PKCγ Dependent Manner

open access: yesCells, 2020
Metformin has been documented in epidemiological studies to mitigate tumor progression. Previous reports show that metformin inhibits tumor migration in several cell lines, such as MCF-7 and H1299, but the mechanisms whereby metformin exerts its ...
Yuanchao Gong   +6 more
doaj   +1 more source

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction [PDF]

open access: yesarXiv, 2023
Directed evolution plays an indispensable role in protein engineering that revises existing protein sequences to attain new or enhanced functions. Accurately predicting the effects of protein variants necessitates an in-depth understanding of protein structure and function.
arxiv  

The solution supramolecular structure of α2 → 8 polysialic acid suggests a structural cause for its low immunogenicity

open access: yesFEBS Letters, EarlyView.
α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley   +1 more source

Develop machine learning based predictive models for engineering protein solubility [PDF]

open access: yesarXiv, 2018
Protein activity is a significant characteristic for recombinant proteins which can be used as biocatalysts. High activity of proteins reduces the cost of biocatalysts. A model that can predict protein activity from amino acid sequence is highly desired, as it aids experimental improvement of proteins.
arxiv  

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