Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease
Abstract Parkinson’s disease (PD) is a complex neurodegenerative disorder that affects multiple neurotransmitters, and its exact cause is still unknown. Developing new drugs for PD is a lengthy and expensive process, making it difficult to find new treatments. This study aims to create a detailed da...
Saved in:
Main Authors: | María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86926-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking
by: In Won Lee, et al.
Published: (2017-12-01) -
QSAR modelling and docking analysis of some thiazole analogues as alfa-glucosidase inhibitors
by: Muhammad Tukur Ibrahim, et al.
Published: (2019-06-01) -
A Theoretical Study on the Efficacy and Mechanism of Combined YAP-1 and PARP-1 Inhibitors in the Treatment of Glioblastoma Multiforme Using Peruvian Maca <i>Lepidium meyenii</i>
by: Albert Gabriel Turpo-Peqqueña, et al.
Published: (2025-01-01) -
Discovery of novel PRMT1 inhibitors: a combined approach using AI classification model and traditional virtual screening
by: Jungan Zhang, et al.
Published: (2025-01-01) -
Discovery of anti-Ebola virus multi-target inhibitors from traditional Chinese medicine database using molecular screening, biophysical investigation, and binding free energy calculations
by: Abbas Khan, et al.
Published: (2025-02-01)