DeepCt: Predicting Pharmacokinetic Concentration-Time Curves and Compartmental Models from Chemical Structure Using Deep Learning.

After initial triaging using in vitro absorption, distribution, metabolism, and excretion (ADME) assays, pharmacokinetic (PK) studies are the first application of promising drug candidates in living mammals. Preclinical PK studies characterize the evolution of the compound's concentration over time, typically in rodents' blood or plasma. From this concentration-time (-) profiles, PK parameters such as total exposure or maximum concentration can be subsequently derived.

Molecular Variability in Levodopa Absorption and Clinical Implications for the Management of Parkinson's Disease.

Levodopa is the most widely used medication for the symptomatic treatment of Parkinson's disease and, despite being an "old" drug, is still considered the gold standard for offering symptomatic relief. The pharmacokinetic and pharmacodynamics of levodopa have been studied extensively. Our review explores the molecular mechanisms that affect the absorption of this drug, focusing on the large intra- and interindividual variability of absorption that is commonly encountered in daily clinical practice, and on the interaction with other medications.

Balancing Molecular Size, Activity, Permeability, and Other Properties: Drug Candidates in the Context of Their Chemical Structure Optimization.

Chemical structure optimization is a vital part of early drug discovery projects. Starting with compounds that show activity on the target of interest, the chemical structures are subsequently optimized toward a development candidate (DC) molecule with the best chances of clinical success. However, the DCs in the context of such optimization programs, as well as detailed characterization of major limiting factors, have not been investigated in detail so far.

[Neurodevelopmental impact of a mutation in the RHOBTB2 gene].

RHOBTB2 was first described as epileptogenic when it presents a missense variant in 2016 and studied more specifically in 2018. It is a gene that causes rare, but potentially severe childhood epileptic encephalopathy. In 2021, research confirmed that heterozygous mutations of RHOBTB2 included other clinical signs besides these encephalopathies.