Results 61 to 70 of about 8,194,451 (253)

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

gene-fam-with-drug-target

, 2016
data for Fig.5: gene-fam-with-drug-target.txt column 1: HGNC gene family ID or name column 2: number of drug target genes (gene products) in the (HGNC) gene family column 3: number of genes in the (HGNC) gene family (possibly including pseudogenes ...
Wentian Li (28857), Pedro Miramontes (373939), Miramontes, Pedro, Oscar Fontanelli (3133830), Li, Wentian, Fontanelli, Oscar   +5 more
core   +1 more source

Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions

, 2021
The continuous emergence of drug-target interaction data provides an opportunity to construct a biological network for systematically discovering unknown interactions.
Yan, C, Dai, Q, Gao, Y, Ji, S, Zou, C, Zhao, X, Yang, Y, Zhu, J, Ruan, D   +8 more
core   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

FEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee, Junho Jeong, Chae Yeong Lee, Hyunjoon Cho, Man Hwan Oh, Je Chul Lee, Jee‐Young Lee, Yangmee Kim   +7 more
wiley   +1 more source

Drug-target-PPI associations for HMI.

, 2022
(A) Relationship between anti-HMI drug candidates and HMI-associated PPIs. Top 10 PPIs with the highest number of shortest links to drug targets are shown (one PPI may correspond to multiple targets). (B) Closest PPIs regulated by raloxifene. (C) Closest
Yao Jiang (1469614), Jia-Xuan Zhang (14279440), Rong Liu (202610)   +2 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Novel network pharmacology methods for drug mechanism of action identification, pre-clinical drug screening and drug repositioning [PDF]

, 2011
The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Here we present two methodology innovations on network pharmacology modeling.
Jianghui Xiong
core   +1 more source

Drug-target-PPI associations for MHCI.

, 2022
(A) Relationship between anti-MHCI drug candidates and MHCI-associated PPIs. Top 10 PPIs with the highest number of shortest links to drug targets are shown (one PPI may correspond to multiple targets).
Yao Jiang (1469614), Jia-Xuan Zhang (14279440), Rong Liu (202610)   +2 more
core   +1 more source

A directed weighted network-based method for drug combinations identification using drug-target and inter-target regulation

BMC Bioinformatics
Background Drug combination is currently a promising solution in treating complex diseases due to its reducing toxicity and enhancing therapeutic efficacy. However, the accurate identification of drug combination effects remains challenging.
Shen Xiao, Yuhang Li, Jinwei Bai, Zhenhua Shen, Can Huang, Rongwu Xiang, Yuxuan Zhai, Xiwei Jiang   +7 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source