Results 141 to 150 of about 142,523 (351)
Neoceptor Concept Based on Molecular Complementarity in GPCRs: A Mutant Adenosine A3 Receptor with Selectively Enhanced Affinity for Amine-Modified Nucleosides [PDF]
, 2001 Kenneth A. Jacobson +9 more
openalex +1 more source
Frontiers in Pharmacology, 2018 G protein-coupled receptors (GPCRs), the largest family of targets for approved drugs, are rarely targeted for cancer treatment, except for certain endocrine and hormone-responsive tumors.
P. Insel +13 more
semanticscholar +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery
EngineeringG protein-coupled receptors (GPCRs) are crucial players in various physiological processes, making them attractive candidates for drug discovery. However, traditional approaches to GPCR ligand discovery are time-consuming and resource-intensive.
Wei Chen +4 more
doaj +1 more source
The Dynamics of Vehicular Networks in Urban Environments [PDF]
, 2010 Vehicular Ad hoc NETworks (VANETs) have emerged as a platform to support intelligent inter-vehicle communication and improve traffic safety and performance.
Dikaiakos, Marios D. +2 more
core
Utilizing Data Imbalance to Enhance Compound–Protein Interaction Prediction Models
Advanced Intelligent Systems, EarlyView.This research paper introduces FilmCPI, a sequence‐based model for predicting compound–protein interactions. It uniquely leverages data imbalance between proteins and compounds to improve performance. FilmCPI outperforms baseline models across multiple datasets and demonstrates strong transferability to unseen protein families without increasing ...
Wei Lin, Chi Chung Alan Fung
wiley +1 more source
Biophysics and PhysicobiologyComputerized molecular docking methodologies are pivotal in in-silico screening, a crucial facet of modern drug design. ChooseLD, a docking simulation software, combines structure- and ligand-based drug design methods with empirical scoring.
Akihiro Masuda +2 more
doaj +1 more source
Fluoreszenzmarkierte Peptidtracer zur simultanen Aktivierung und Bildgebung des Oxytocinrezeptors
Angewandte Chemie, EarlyView.Licht ins Dunkel: Hier präsentieren wir die Entwicklung fluoreszenzmarkierter Peptid‐Tracer, die eine gleichzeitige Visualisierung und Aktivierung des Oxytocinrezeptors – eines G‐Protein‐gekoppelten Rezeptors, der an Gesundheit und Krankheit beteiligt ist – ermöglichen.
Monika Perisic Böhm +11 more
wiley +1 more source
Kernel methods for in silico chemogenomics
, 2007 Predicting interactions between small molecules and proteins is a crucial ingredient of the drug discovery process. In particular, accurate predictive models are increasingly used to preselect potential lead compounds from large molecule databases, or to
Jacob, Laurent, Vert, Jean-Philippe
core +1 more source
Fluorescent Peptide Tracers for Simultaneous Oxytocin Receptor Activation and Visualization
Angewandte Chemie International Edition, EarlyView.Illuminating the Oxytocin Receptor: Here we present the development of fluorescent peptide tracers for the simultaneous visualization and activation of the oxytocin receptor, an important G protein‐coupled receptor involved in health and disease. These tracers are powerful new tools to support various imaging and functional studies across biological ...
Monika Perisic Böhm +11 more
wiley +1 more source