Fentanyl structure as a scaffold for opioid/non-opioid multitarget analgesics
PFJ Lipiński, J Matalińska - International Journal of Molecular Sciences, 2022 - mdpi.com
One of the strategies in the search for safe and effective analgesic drugs is the design of
multitarget analgesics. Such compounds are intended to have high affinity and activity at …
multitarget analgesics. Such compounds are intended to have high affinity and activity at …
Discovery and computational studies of piperidine/piperazine-based compounds endowed with sigma receptor affinity
L De Luca, L Lombardo, S Mirabile… - RSC Medicinal …, 2023 - pubs.rsc.org
Herein, we describe our efforts to identify sigma receptor 1 (S1R) ligands through a
screening campaign on our in-house collection of piperidine/piperazine-based compounds …
screening campaign on our in-house collection of piperidine/piperazine-based compounds …
[PDF][PDF] Unde venisti PGRMC? Grand-scale biology from early eukaryotes and eumetazoan animal origins
MA Cahill - Frontiers in Bioscience-Landmark, 2022 - researchoutput.csu.edu.au
The title usage of Unde venisti 'from where have you come'is from a now dead language
(Latin) that foundationally influenced modern English (not the major influence, but an …
(Latin) that foundationally influenced modern English (not the major influence, but an …
Structure-based discovery of CFTR potentiators and inhibitors
The cystic fibrosis transmembrane conductance regulator (CFTR) is a crucial ion channel
whose loss of function leads to cystic fibrosis, whereas its hyperactivation leads to secretory …
whose loss of function leads to cystic fibrosis, whereas its hyperactivation leads to secretory …
Applications of machine learning in computer-aided drug discovery
SMBA Turzo, ER Hantz, S Lindert - QRB discovery, 2022 - cambridge.org
Machine learning (ML) has revolutionised the field of structure-based drug design (SBDD) in
recent years. During the training stage, ML techniques typically analyse large amounts of …
recent years. During the training stage, ML techniques typically analyse large amounts of …
Navigating Ultralarge Virtual Chemical Spaces with Product-of-Experts Chemical Language Models
Ultralarge virtual chemical spaces have emerged as a valuable resource for drug discovery,
providing access to billions of make-on-demand compounds with high synthetic success …
providing access to billions of make-on-demand compounds with high synthetic success …
[HTML][HTML] Small vs. large library docking for positive allosteric modulators of the calcium sensing receptor
Drugs acting as positive allosteric modulators (PAMs) to enhance the activation of the
calcium sensing receptor (CaSR) and to suppress parathyroid hormone (PTH) secretion can …
calcium sensing receptor (CaSR) and to suppress parathyroid hormone (PTH) secretion can …
Selectivity profile comparison for certain γ-butyrolactone and oxazolidinone-based ligands on a sigma 2 receptor over sigma 1: a molecular docking approach
Sigma receptors (σ1 R and σ2 R) are pharmacologically characterized membrane-bound
receptors that bind a wide range of chemical compounds. Alzheimer's disease, traumatic …
receptors that bind a wide range of chemical compounds. Alzheimer's disease, traumatic …
Multi-target drugs for Alzheimer's disease
B Turgutalp, C Kizil - Trends in Pharmacological Sciences, 2024 - cell.com
Abstract Alzheimer's disease (AD), a leading cause of dementia, increasingly challenges our
healthcare systems and society. Traditional therapies aimed at single targets have fallen …
healthcare systems and society. Traditional therapies aimed at single targets have fallen …
[HTML][HTML] Structure-based virtual screening of vast chemical space as a starting point for drug discovery
J Carlsson, A Luttens - Current Opinion in Structural Biology, 2024 - Elsevier
Abstract Structure-based virtual screening aims to find molecules forming favorable
interactions with a biological macromolecule using computational models of complexes. The …
interactions with a biological macromolecule using computational models of complexes. The …