David Hoksza
Molecular Biology · 2016–2022
A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it; #7,395 of 17,773 by trust here, #10,193 by citations
- Computational Theory and Mathematics — 39 citations into it; #6,540 of 12,182 by trust here, #5,724 by citations
- Materials Chemistry — 20 citations into it
- Computational Biology & Bioinformatics — 19 citations into it; #352 of 660 by trust here, #607 by citations
- Computational Chemistry & Drug Discovery — 8 citations into it; #210 of 425 by trust here, #341 by citations
- Evaluation & Benchmarks — 5 citations into it
- Spectroscopy — 5 citations into it
Whom David Hoksza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sereina Riniker
- Dávid Bajusz
- Jianyi Yang
- Michael M. Mysinger
- Ambrish Roy
- Noel M. O'Boyle
- Yang Zhang
- Knut Baumann
- Gregory A. Landrum
Who trusts David Hoksza overall
Papers from David Hoksza's perspective
Ordered by how strongly the researchers David Hoksza trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Highly accurate protein structure prediction with AlphaFold
- Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure
- BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions
- Extended-Connectivity Fingerprints
- COFACTOR: an accurate comparative algorithm for structure-based protein function annotation
- The Protein Data Bank
- Molecular fingerprint similarity search in virtual screening. (Methods)
- Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem
Their papers
- RNAcentral 2021: secondary structure integration, improved sequence search and new member databases (2020) — 337 citations
- P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure (2018) — 509 citations
- PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures (2022) — 49 citations
- PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations
- PrankWeb: a web server for ligand binding site prediction and visualization (2019) — 350 citations
- Benchmarking platform for ligand-based virtual screening (2016) — 6 citations