Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors
From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Mehmet Ali Yucel
,
Ercan Adal
,
Mine Buga Aktekin
,
Ceylan Hepokur
,
Nicola Gambacorta
,
Orazio Nicolotti
,
Oztekin Algul
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
ChemMedChem
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Description
DOI:
10.1002/cmdc.202400108
Similar Items
Development of Styryl‐Modified 3,4‐Dihydropyrimidin‐2(1 H )‐ones as Potential Antitumor Agents
by: Konstantinos Panagoulias, et al.
Published: (2026)
Sulfonamide Inhibitors of Amyloid Aggregation: A Promising Path against Neurodegenerative Diseases
by: Joana Smirnovienė, et al.
Published: (2025)
Challenges for the Discovery of Non‐Covalent WRN Helicase Inhibitors
by: Alisa Heuser, et al.
Published: (2024)
In Silico‐Enabled Discovery and Development of Potent and Selective CDK11 Inhibitors
by: Frankie S. Mak, et al.
Published: (2026)
Chemical Derivatization Leads to the Discovery Of Novel Analogs of Azotochelin, a Natural Siderophore, as Promising Anticancer Agents
by: Nishant M. Karadkhelkar, et al.
Published: (2024)