David Gfeller
Molecular Biology · 2005–2020
A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 134 citations into it
- Statistical and Nonlinear Physics — 10 citations into it; #9,369 of 10,127 by trust here, #6,421 by citations
- Plant Science — 8 citations into it
Whom David Gfeller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aurélien Grosdidier
- Mark Newman
- Florian Kiefer
- Robert M. Waterhouse
- Vincent Zoete
- Albert J. Vilella
- Iroon Polytechniou
- John J. Irwin
- Pedro J. Ballester
- Olivier Michielin
Who trusts David Gfeller overall
- Santo Fortunato
- Antoine Daina
- Douglas M. Fowler
- Artur Kadurin
- Vincent Zoete
- Olivier Michielin
- Olaf Sporns
- Debora Marks
Papers from David Gfeller's perspective
Ordered by how strongly the researchers David Gfeller trusts endorse each paper. Same corpus, a different order for every researcher.
- The ChEMBL bioactivity database: an update
- The SWISS-MODEL Repository and associated resources
- Predicting new molecular targets for known drugs
- Protein structure homology modeling using SWISS-MODEL workspace
- STRING v10: protein–protein interaction networks, integrated over the tree of life
- The Transcriptional Landscape of the Mammalian Genome (Science)
- Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.
- An Integrated Encyclopedia of DNA Elements in the Human Genome
- Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective
- NCBI GEO: archive for functional genomics data sets—update (Nucleic Acids Res.)
Their papers
- Coevolution of PDZ domain-ligand interactions analyzed by high-throughput phage display and deep sequencing. (2010) — 132 citations
- SwissTargetPrediction: a web server for target prediction of bioactive small molecules (2014) — 1,594 citations
- Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data (2017) — 1,103 citations
- Shaping the interaction landscape of bioactive molecules (2013) — 451 citations
- EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data. (2020) — 425 citations
- Intratumoral Tcf1+PD‐1+CD8+ T Cells with Stem‐like Properties Promote Tumor Control in Response to Vaccination and Checkpoint Blockade Immunotherapy (2019) — 1,389 citations
- The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015) — 60 citations
- Finding instabilities in the community structure of complex networks. (2005) — 125 citations