Results 91 to 100 of about 3,678,790 (312)
Background Cyclic Nucleotide-Binding Domain (CNBD)-family channels display distinct voltage-sensing properties despite sharing sequence and structural similarity.
Zhipei Liu +14 more
doaj +1 more source
Development of a Zebrafish Sepsis Model for High-Throughput Drug Discovery
Sepsis is a leading cause of death worldwide. Current treatment modalities remain largely supportive. Intervention strategies focused on inhibiting specific mediators of the inflammatory host response have been largely unsuccessful, a consequence of an ...
Anju M. Philip +8 more
doaj +1 more source
Drug discovery by dynamic combinatorial libraries
Dynamic combinatorial chemistry is a recently introduced supramolecular approach that uses self-assembly processes to generate libraries of chemical compounds.
Ramström, Olof, +3 more
core +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Genomics and drug discovery [PDF]
Genomics represents a new tool in drug discovery. Microbial genomics have been at the forefront of a new era of whole cell molecular biology because genomic data provides a quantum leap in available genetic data.
Hazell, Stuart L.
core
Structural and biochemical analysis of a B12 superbinder
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
A renaissance of neural networks in drug discovery
© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems.
Winkler D., Baskin I., Tetko I.
core
Prospecting the protein design landscape
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Trends in GPCR drug discovery: new agents, targets and indications
G protein-coupled receptors (GPCRs) are the most intensively studied drug targets, mostly due to their substantial involvement in human pathophysiology and their pharmacological tractability.
Gloriam, David E +14 more
core +1 more source
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source

