Karel Berka
Molecular Biology · 2013–2021
A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 53 citations into it
- Computational Biology & Bioinformatics — 18 citations into it
Whom Karel Berka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Karel Berka's perspective
Ordered by how strongly the researchers Karel Berka trusts endorse each paper. Same corpus, a different order for every researcher.
- RASMOL: biomolecular graphics for all.
- The Pfam protein families database
- The Protein Data Bank.
- PDBe: improved findability of macromolecular structure data in the PDB
- Highly accurate protein structure prediction for the human proteome
- Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures (Nucleic Acids Res.)
- Faculty Opinions recommendation of Accurate prediction of protein structures and interactions using a three-track neural network.
- Highly accurate protein structure prediction with AlphaFold
- An integrated map of genetic variation from 1,092 human genomes
- DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
Their papers
- Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures (2021) — 1,008 citations
- Photoluminescence effects of graphitic core size and surface functional groups in carbon dots: COO− induced red-shift emission (2014) — 256 citations
- PDBsum additions (2013) — 277 citations
- MOLE 2.0: advanced approach for analysis of biomacromolecular channels (2013) — 316 citations
- PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations
- CATH: increased structural coverage of functional space (2020) — 432 citations
- MOLEonline: a web-based tool for analyzing channels, tunnels and pores (2018 update) (2018) — 301 citations