Results 41 to 50 of about 8,194,450 (255)

Drug-Target Interaction Prediction Based on Drug Fingerprint Information and Protein Sequence

Molecules, 2019
The identification of drug-target interactions (DTIs) is a critical step in drug development. Experimental methods that are based on clinical trials to discover DTIs are time-consuming, expensive, and challenging.
Yang Li, Yu-An Huang, Zhu-Hong You, Li-Ping Li, Zheng Wang   +4 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

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

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

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

Experimental training in molecular pharmacology education based on drug–target interactions

Pharmacology Research & Perspectives, 2023
Introduction Drug development has been challenged by the dual drawbacks involving unpredictable disease outcomes and drug resistance, which has placed greater demands on pharmacology education.
Luna Ge, Kai Cheng, Yuang Zhang, Junling Li, Wei Chen, Guanhua Song, Lin Wang   +6 more
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