AIMC Topic: Membrane Proteins

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Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network.

Journal of molecular graphics & modelling
Membrane proteins, the most important drug targets, account for around 30% of total proteins encoded by the genome of living organisms. An important role of these proteins is to bind adenosine triphosphate (ATP), facilitating crucial biological proce...

Effect of potential probiotic Leuconostoc mesenteroides FB111 in prevention of cholesterol absorption by modulating NPC1L1/PPARα/SREBP-2 pathways in epithelial Caco-2 cells.

International microbiology : the official journal of the Spanish Society for Microbiology
Mustard kimchi consumption reduces cholesterol levels in rats. To identify lactic acid bacteria (LAB) in kimchi which exert this effect, 20 LAB isolates were evaluated for cholesterol reduction in an in vitro screen. The FB111 strain showed the highe...

Higher serum levels of fibroblast growth factor 21 in old patients with cachexia.

Nutrition (Burbank, Los Angeles County, Calif.)
OBJECTIVE: Fibroblast growth factor (FGF)21 is promptly induced by short fasting in animal models to regulate glucose and fat metabolism. Data on FGF21 in humans are inconsistent and FGF21 has not yet been investigated in old patients with cachexia, ...

Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC.

Journal of theoretical biology
Membrane proteins are vital type of proteins that serve as channels, receptors and energy transducers in a cell. They perform various important functions, which are mainly associated with their types. They are also attractive targets of drug discover...

iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition.

Journal of theoretical biology
Membrane proteins execute significant roles in cellular processes of living organisms, ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of membrane proteins and their functional types become a challenging jo...

Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins.

Journal of theoretical biology
Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membr...

Predicting the helix-helix interactions from correlated residue mutations.

Proteins
Helix-helix interactions are crucial in the structure assembly, stability and function of helix-rich proteins including many membrane proteins. In spite of remarkable progresses over the past decades, the accuracy of predicting protein structures fro...

TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.

PLoS computational biology
UNLABELLED: Although deep learning approaches have had tremendous success in image, video and audio processing, computer vision, and speech recognition, their applications to three-dimensional (3D) biomolecular structural data sets have been hindered...