- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
N+-C-H···O Hydrogen bonds in protein-ligand complexes ; volume:9 ; number:1 ; day:25 ; month:1 ; year:2019 ; pages:1-12 ; date:12.2019
Scientific reports ; 9, Heft 1 (25.1.2019), 1-12, 12.2019
- Creator
-
Itoh, Yukihiro
Nakashima, Yusuke
Tsukamoto, Shuichiro
Kurohara, Takashi
Suzuki, Miki
Sakae, Yoshitake
Oda, Masayuki
Okamoto, Yuko
Suzuki, Takayoshi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-36987-9
- URN
-
urn:nbn:de:101:1-2019022318485212127914
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Itoh, Yukihiro
- Nakashima, Yusuke
- Tsukamoto, Shuichiro
- Kurohara, Takashi
- Suzuki, Miki
- Sakae, Yoshitake
- Oda, Masayuki
- Okamoto, Yuko
- Suzuki, Takayoshi
- SpringerLink (Online service)
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Chemical features and machine learning assisted predictions of protein-ligand short hydrogen bonds
Protein-ligand interactions
Accelerating Force Field-Based Optimizations of Protein-Ligand Complexes
Methyl probes in proteins for determining ligand binding mode in weak protein–ligand complexes
Free energy calculations of protein-ligand complexes with computational molecular dynamics
Structure prediction of protein-ligand complexes from sequence information with Umol
User-centric design of a 3D search interface for protein-ligand complexes
Modeling Flexibility of Protein-DNA and Protein-Ligand Complexes using Molecular Dynamics
Functional dynamics of protein-ligand interactions
MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery
Protoss: a holistic approach to predict tautomers and protonation states in protein-ligand complexes
Hydrogen placement in protein-ligand complexes under consideration of tautomerism
Chemical features and machine learning assisted predictions of protein-ligand short hydrogen bonds
Protein-ligand interactions
Accelerating Force Field-Based Optimizations of Protein-Ligand Complexes
Methyl probes in proteins for determining ligand binding mode in weak protein–ligand complexes
Free energy calculations of protein-ligand complexes with computational molecular dynamics
Structure prediction of protein-ligand complexes from sequence information with Umol
User-centric design of a 3D search interface for protein-ligand complexes
Modeling Flexibility of Protein-DNA and Protein-Ligand Complexes using Molecular Dynamics
Functional dynamics of protein-ligand interactions
MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery