Results 41 to 50 of about 8,194,451 (253)

Amiodarone - Simvastatin - contextualized potential drug-drug interaction clinical algorithm

, 2018
An algorithm developed for research purposes that summarizes the potential drug-drug interaction between amiodarone and simvastatin. The information is not advice, and should not be treated as such.
Contributors to the A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation Specification
core   +1 more source

Biochemical and structural characterization of mycobacterial aspartyl-tRNA synthetase AspS, a promising TB drug target [PDF]

, 2014
The human pathogen Mycobacterium tuberculosis is the causative agent of pulmonary tuberculosis (TB), a disease with high worldwide mortality rates. Current treatment programs are under significant threat from multi-drug and extensively-drug resistant ...
VijayaShankar Nataraj, Reynolds Robert C., Nicholas J Loman, Lloyd, AJ, Besra, Gurdyal S., Klaus Fütterer, Ballell, L, Reynolds, Robert C., Abrahams, Katherine A, Loman, Nicholas J., Hobrath Judith V., Gurcha Sudagar S., Alderwick, LJ, Abrahams, Katherine A., Gurcha, SS, Cox, Jonathan A G, Abrahams Katherine A., Hobrath, JV, Loman, Nicholas J, Carlos Alemparte, Lluis Ballell, Bhatt, Apoorva; id_orcid, Cox Jonathan A. G., Loman, NJ, Besra, GS, Reynolds, Robert C, Alemparte Carlos, Alderwick, Luke J, Gurcha, Sudagar S, Besra, Gurdyal S; id_orcid, Abrahams, KA, Besra Gurdyal S., Hobrath, Judith V, Barros, D, Robert C Reynolds, Loman Nicholas J., Bhatt, A, Ballell, Lluis, Nataraj, VijayaShankar, Lloyd, Adrian J., Apoorva Bhatt, Bhatt Apoorva, Nataraj, V, Alemparte, Carlos, Lloyd, Adrian J, Fütterer, K, Hobrath, Judith V., Veeraraghavan Usha, Cox, Jonathan A. G., Cox, JA, Barros David, Veeraraghavan, Usha, Bhatt, Apoorva, Adrian J Lloyd, Jonathan A G Cox, Usha, V, Gurdyal S Besra, David Barros, Lloyd Adrian J., Reynolds, RC, Alderwick, Luke J., Ballell Lluis, Usha Veeraraghavan, Fütterer Klaus, Barros, David, Nataraj, Vijaya-Shankar, Luke J Alderwick, Gurcha, Sudagar S., Alderwick Luke J., Judith V Hobrath, Sudagar S Gurcha, Usha, Veeraraghavan, Nataraj VijayaShankar, Alemparte, C, Fütterer, Klaus, Katherine A Abrahams   +75 more
core   +1 more source

Antiviral Drug Target Identification and Ligand Discovery

, 2023
This chapter intends to provide a general overview of web-based resources available for antiviral drug discovery studies. First, we explain how the structure for a potential viral protein target can be obtained and then highlight some of the main ...
Patel, Hershna, Sengupta, Dipankar
core   +1 more source

LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods

Frontiers in Genetics, 2023
Introduction: Drug-target interaction (DTI) prediction is a key step in drug function discovery and repositioning. The emergence of large-scale heterogeneous biological networks provides an opportunity to identify drug-related target genes, which led to ...
Jianwei Li, Jianwei Li, Yinfei Wang, Zhiguang Li, Hongxin Lin, Baoqin Wu   +5 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

A machine learning framework for predicting drug–drug interactions

Scientific Reports, 2021
Understanding drug–drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a high ...
Suyu Mei, Kun Zhang
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Tamoxifen-Paroxetine - contextualized potential drug-drug interaction clinical algorithm

, 2018
An algorithm developed for research purposes that summarizes the potential drug-drug interaction between tamoxifen and paroxetine. The information is not advice, and should not be treated as such.
Contributors to the A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation Specification
core   +1 more source

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

, 2020
The identification of potential interactions between drugs and target proteins is crucial in pharmaceutical sciences. The experimental validation of interactions in genomic drug discovery is laborious and expensive; hence, there is a need for efficient ...
Angshul Majumdar (6271007), Aanchal Mongia (6271001), Aanchal Mongia, Angshul Majumdar   +3 more
core   +1 more source

Prediction of human drug clearance and anticipation of clinical drug-drug interaction potential from in vitro drug transport studies [PDF]

, 2014
A major concern in drug development is the characterization of new molecular entities (NMEs) with respect to their safety and efficacy. Both factors are determined by the drug’s exposure within the body which itself is affected by drug clearance ...
Kunze, Annett
core   +1 more source