Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: The current project was undertaken with the aim to propose and test an in-depth integrative analysis of neuropharmacokinetic (neuroPK) properties of new chemical entities (NCEs), thereby optimizing the routine of evaluation and selection of novel neurotherapeutics.

Methods: Forty compounds covering a wide range of physicochemical properties and various CNS targets were investigated. The combinatory mapping approach was used for the assessment of the extent of blood-brain and cellular barriers transport via estimation of unbound-compound brain (Kp,uu,brain) and cell (Kp,uu,cell) partitioning coefficients. Intra-brain distribution was evaluated using the brain slice method. Intra- and sub-cellular distribution was estimated via calculation of unbound-drug cytosolic and lysosomal partitioning coefficients.

Results: Assessment of Kp,uu,brain revealed extensive variability in the brain penetration properties across compounds, with a prevalence of compounds actively effluxed at the blood-brain barrier. Kp,uu,cell was valuable for identification of compounds with a tendency to accumulate intracellularly. Prediction of cytosolic and lysosomal partitioning provided insight into the subcellular accumulation. Integration of the neuroPK parameters with pharmacodynamic readouts demonstrated the value of the proposed approach in the evaluation of target engagement and NCE selection.

Conclusions: With the rather easily-performed combinatory mapping approach, it was possible to provide quantitative information supporting the decision making in the drug discovery setting.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11095-014-1319-1DOI Listing

Publication Analysis

Top Keywords

drug discovery
8
combinatory mapping
8
mapping approach
8
cytosolic lysosomal
8
lysosomal partitioning
8
mechanistic understanding
4
brain
4
understanding brain
4
brain drug
4
drug disposition
4

Similar Publications

Traditional drug discovery methods like high-throughput screening and molecular docking are slow and costly. This study introduces a machine learning framework to predict bioactivity (pIC₅₀) and identify key molecular properties and structural features for targeting Trypanothione reductase (TR), Protein kinase C theta (PKC-θ), and Cannabinoid receptor 1 (CB1) using data from the ChEMBL database. Molecular fingerprints, generated via PaDEL-Descriptor and RDKit, encoded structural features as binary vectors.

View Article and Find Full Text PDF

Design and synthesis of novel indolinone Aurora B kinase inhibitors based on fragment-based drug discovery (FBDD).

Mol Divers

September 2025

State Key Laboratory Basis of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, Xinjiang, China.

Aurora kinases are a group of serine/threonine kinases essential for cell mitosis, comprising Aurora A, B, and C. However, the Aurora B is overexpressed in multiple tumors and the aurone has been proved to exhibit potent inhibitory activity against Aurora B kinase by our group. The indolinone was considered as an aurone scaffold hopping analog, and the indolinone-based Aurora B inhibitor library (3577 molecules) was constructed by FBDD strategy.

View Article and Find Full Text PDF

Oral bioavailability property prediction based on task similarity transfer learning.

Mol Divers

September 2025

Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, Nanjing, 211198, China.

Drug absorption significantly influences pharmacokinetics. Accurately predicting human oral bioavailability (HOB) is essential for optimizing drug candidates and improving clinical success rates. The traditional method based on experiment is a common way to obtain HOB, but the experimental method is time-consuming and costly.

View Article and Find Full Text PDF

Lysosome-dependent cell death (LDCD) is a regulated form of cell death initiated by increased lysosomal membrane permeability, leading to the cytoplasmic release of lysosomal enzymes and subsequent cellular damage. Molecular mechanisms controlling LDCD include lysosomal membrane instability and lysosomal enzyme release, which together lead to cell damage. A more profound comprehension of these underlying mechanisms may reveal new therapeutic targets for diseases associated with lysosomal dysfunction.

View Article and Find Full Text PDF

A theoretical study on doping Pd-like superatoms into defective graphene quantum dots: an efficient strategy to design single superatom catalysts for the Suzuki reaction.

Nanoscale

September 2025

Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian 350122, People's Republic of China.

The rational design of non-precious metal catalysts as a replacement for Pd is of great importance for catalyzing various important chemical reactions. To realize this purpose, the palladium-like superatom NbN was doped into a defective graphene quantum dot (GQD) model with a double-vacancy site to design a novel single superatom catalyst, namely, NbN@GQD, based on density functional theory (DFT), and its catalytic activity for the Suzuki reaction was theoretically investigated. Our results reveal that this designed catalyst exhibits satisfactory activity with a small rate-limiting energy barrier of 25.

View Article and Find Full Text PDF