AIMC Topic: Piperidines
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Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.
Scientific reports
Jul 1, 2025
In the field of cancer therapy, the diversity and heterogeneity of cancer genomes in clinical patients complicate and challenge the effective use of non-targeted drugs, as these drugs often fail to address specific genetic events. Recent advancements...
Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib.
Arthritis research & therapy
Aug 27, 2024
BACKGROUND: Patients with rheumatoid arthritis (RA) have an increased risk of developing serious infections (SIs) vs. individuals without RA; efforts to predict SIs in this patient group are ongoing. We assessed the ability of different machine learn...
Computational discovery of novel FYN kinase inhibitors: a cheminformatics and machine learning-driven approach to targeted cancer and neurodegenerative therapy.
Molecular diversity
Feb 28, 2024
In this study, we explored the potential of novel inhibitors for FYN kinase, a critical target in cancer and neurodegenerative disorders, by integrating advanced cheminformatics, machine learning, and molecular simulation techniques. Our approach inv...
A Deep Learning Framework for Anesthesia Depth Prediction from Drug Infusion History.
Sensors (Basel, Switzerland)
Nov 6, 2023
In the target-controlled infusion (TCI) of propofol and remifentanil intravenous anesthesia, accurate prediction of the depth of anesthesia (DOA) is very challenging. Patients with different physiological characteristics have inconsistent pharmacodyn...
Effectiveness and safety of blonanserin for improving social and cognitive functions in patients with first-episode schizophrenia: a study protocol for a prospective, multicentre, single-arm clinical trial.
BMJ open
Apr 20, 2022
INTRODUCTION: Both the pharmacological characteristics of blonanserin and its related small sample size studies suggest that blonanserin could alleviate social and cognitive dysfunctions in patients with schizophrenia. However, no large sample size s...
Recent advances in drug repurposing using machine learning.
Current opinion in chemical biology
Jul 16, 2021
Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlig...
Piperidine based 1,2,3-triazolylacetamide derivatives induce cell cycle arrest and apoptotic cell death in .
Journal of advanced research
Nov 10, 2020
The fungal pathogen , is a serious threat to public health and is associated with bloodstream infections causing high mortality particularly in patients with serious medical problems. As this pathogen is generally resistant to all the available clas...
Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury.
Journal of neurophysiology
Jan 8, 2020
Our previous work showed that lateral fluid percussion injury to the sensorimotor cortex (SMC) of anesthetized rats increased neuronal synaptic hyperexcitability in layer 5 (L5) neurons in ex vivo brain slices 10 days postinjury. Furthermore, endocan...
Machine Learning
Animals
Male
Succinimides
Piperidines
Benzamides
Enzyme Inhibitors
Rats, Wistar
Pyramidal Cells
Carbamates
Rats
Electrophysiological Phenomena
Amidohydrolases
Brain Injuries, Traumatic
Excitatory Postsynaptic Potentials
Piperazines
Sensorimotor Cortex
Endocannabinoids
Benzodioxoles
Monoacylglycerol Lipases
Pharmacokinetic and safety profile of tofacitinib in children with polyarticular course juvenile idiopathic arthritis: results of a phase 1, open-label, multicenter study.
Pediatric rheumatology online journal
Dec 28, 2017
BACKGROUND: Juvenile idiopathic arthritis (JIA) is the most common pediatric rheumatic disease and a leading cause of childhood disability. The objective of this study was to characterize the PK, safety, and taste acceptability of tofacitinib in pati...
Analytical Stability-Indicating Methods for Alogliptin in Tablets by LC-CAD and LC-UV.
Journal of AOAC International
Dec 15, 2016
Stability-indicating LC methods using a UV detector and a charged aerosol detector (CAD) simultaneously were validated for the assessment of alogliptin (ALG) in tablets. The analysis was performed on a C8 column (250 × 4.6 mm, 5 μm) at a flow of 0.8 ...
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