Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2314-7253
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors ; volume:6 ; number:1 ; day:18 ; month:8 ; year:2020 ; pages:1-16 ; date:12.2020
Future Journal of Pharmaceutical Sciences ; 6, Heft 1 (18.8.2020), 1-16, 12.2020
- Urheber
-
Ibrahim, Muhammad Tukur
Uzairu, Adamu
Uba, Sani
Shallangwa, Gideon Adamu
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s43094-020-00074-6
- URN
-
urn:nbn:de:101:1-2020100921200681558572
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Ibrahim, Muhammad Tukur
- Uzairu, Adamu
- Uba, Sani
- Shallangwa, Gideon Adamu
- SpringerLink (Online service)
Ähnliche Objekte (12)
Structure-based design of some quinazoline derivatives as epidermal growth factor receptor inhibitors
Structure-based virtual screening using index technology
Structure-Based Virtual Screening Using Index Technology
Analysis of ligand- and structure-based virtual screening data
Towards Effective Consensus Scoring in Structure-Based Virtual Screening
Identification of Plk1 type II inhibitors by structure-based virtual screening
Discovery of Tyrosinase Inhibitors: Structure-Based Virtual Screening and Biological Evaluation
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
Utilizing a structure-based virtual screening approach to discover potential LSD1 inhibitors
Identification of potential Akt activators: a ligand and structure-based computational approach
Computational virtual measurement for trees
Structural analysis of 20S proteasome and development of structure-based virtual screening methods
Structure-based design of some quinazoline derivatives as epidermal growth factor receptor inhibitors
Structure-based virtual screening using index technology
Structure-Based Virtual Screening Using Index Technology
Analysis of ligand- and structure-based virtual screening data
Towards Effective Consensus Scoring in Structure-Based Virtual Screening
Identification of Plk1 type II inhibitors by structure-based virtual screening
Discovery of Tyrosinase Inhibitors: Structure-Based Virtual Screening and Biological Evaluation
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
Utilizing a structure-based virtual screening approach to discover potential LSD1 inhibitors
Identification of potential Akt activators: a ligand and structure-based computational approach
Computational virtual measurement for trees
Structural analysis of 20S proteasome and development of structure-based virtual screening methods
Structure-based design of some quinazoline derivatives as epidermal growth factor receptor inhibitors
Structure-based virtual screening using index technology
Structure-Based Virtual Screening Using Index Technology
Analysis of ligand- and structure-based virtual screening data
Towards Effective Consensus Scoring in Structure-Based Virtual Screening
Identification of Plk1 type II inhibitors by structure-based virtual screening
Discovery of Tyrosinase Inhibitors: Structure-Based Virtual Screening and Biological Evaluation
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
Utilizing a structure-based virtual screening approach to discover potential LSD1 inhibitors
Identification of potential Akt activators: a ligand and structure-based computational approach
Computational virtual measurement for trees