David Sehnal

David Sehnal

Masarykova univerzita

H-index: 19

Europe-Czech Republic

About David Sehnal

David Sehnal, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at Masarykova univerzita, specializes in the field of Computational Chemistry.

His recent articles reflect a diverse array of research interests and contributions to the field:

ChannelsDB 2.0: a comprehensive database of protein tunnels and pores in AlphaFold era

ChannelsDB 2.0: Digging Protein Channels, Tunnels and Pores in the AlphaFold Era

Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations

PDBImages: a command-line tool for automated macromolecular structure visualization

Analysis and Visualization of Protein Channels, Tunnels and Pores with MOLEonline & ChannelsDB 2.0

PDBe and PDBe‐KB: Providing high‐quality, up‐to‐date and integrated resources of macromolecular structures to support basic and applied research and education

CoverView: clear atom-level visualization of electron density coverage of PDB structures to assist validation

High-performance macromolecular data delivery and visualization for the web. Corrigendum

David Sehnal Information

University

Position

___

Citations(all)

2966

Citations(since 2020)

2475

Cited By

1190

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

22

i10Index(since 2020)

18

Email

University Profile Page

Masarykova univerzita

Google Scholar

View Google Scholar Profile

David Sehnal Skills & Research Interests

Computational Chemistry

Top articles of David Sehnal

Title

Journal

Author(s)

Publication Date

ChannelsDB 2.0: a comprehensive database of protein tunnels and pores in AlphaFold era

Nucleic Acids Research

Anna Špačková

Ondřej Vávra

Tomáš Raček

Václav Bazgier

David Sehnal

...

2024/1/5

ChannelsDB 2.0: Digging Protein Channels, Tunnels and Pores in the AlphaFold Era

Anna Špačková

Ondřej Vávra

Tomáš Raček

Václav Bazgier

David Sehnal

...

2023/10

Mol* Volumes and Segmentations: visualization and interpretation of cell imaging data alongside macromolecular structure data and biological annotations

Nucleic Acids Research

Aliaksei Chareshneu

Adam Midlik

Crina-Maria Ionescu

Alexander Rose

Vladimír Horský

...

2023/7/5

PDBImages: a command-line tool for automated macromolecular structure visualization

Bioinformatics

Adam Midlik

Sreenath Nair

Stephen Anyango

Mandar Deshpande

David Sehnal

...

2023/12/1

Analysis and Visualization of Protein Channels, Tunnels and Pores with MOLEonline & ChannelsDB 2.0

Anna Špačková

Václav Bazgier

Tomáš Raček

David Sehnal

Radka Svobodová

...

2023/10

PDBe and PDBe‐KB: Providing high‐quality, up‐to‐date and integrated resources of macromolecular structures to support basic and applied research and education

Protein Science

Mihaly Varadi

Stephen Anyango

Sri Devan Appasamy

David Armstrong

Marcus Bage

...

2022/10

CoverView: clear atom-level visualization of electron density coverage of PDB structures to assist validation

Aliaksei Chareshneu

David Sehnal

Radka Svobodová

2022

High-performance macromolecular data delivery and visualization for the web. Corrigendum

Acta crystallographica. Section D, Structural biology

David Sehnal

Radka Svobodová

Karel Berka

Alexander S Rose

Stephen K Burley

...

2021/1/1

NAChRDB: A Web Resource of Structure–Function Annotations to Unravel the Allostery of Nicotinic Acetylcholine Receptors

ACS omega

Aliaksei Chareshneu

Purbaj Pant

Ravi José Tristao Ramos

David Sehnal

Tugrul Gokbel

...

2021/8/31

Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures

Nucleic acids research

David Sehnal

Sebastian Bittrich

Mandar Deshpande

Radka Svobodová

Karel Berka

...

2021/7/2

BinaryCIF and CIFTools—Lightweight, efficient and extensible macromolecular data management

PLoS computational biology

David Sehnal

Sebastian Bittrich

Sameer Velankar

Jaroslav Koča

Radka Svobodová

...

2020/10/19

PDBe: improved findability of macromolecular structure data in the PDB

Nucleic acids research

David R Armstrong

John M Berrisford

Matthew J Conroy

Aleksandras Gutmanas

Stephen Anyango

...

2020/1/8

Visualization and analysis of protein structures with litemol suite

Structural Bioinformatics: Methods and Protocols

David Sehnal

Radka Svobodová

Karel Berka

Lukáš Pravda

Adam Midlik

...

2020

See List of Professors in David Sehnal University(Masarykova univerzita)