Pierre Tufféry

Molecular Biology · 2009–2018

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 68 citations into it; #6,090 of 17,773 by trust here, #8,089 by citations
• Materials Chemistry — 34 citations into it
• Computational Biology & Bioinformatics — 28 citations into it
• Computational Theory and Mathematics — 23 citations into it; #9,426 of 12,182 by trust here, #3,339 by citations

Whom Pierre Tufféry trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Adam T. Zemla
2. David C. Jones
3. Yang Zhang
4. Julien Maupetit

Who trusts Pierre Tufféry overall

1. Alexis Lamiable
2. Pierre Thévenet
3. Artur Meller

Papers from Pierre Tufféry's perspective

Ordered by how strongly the researchers Pierre Tufféry trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. LGA: a method for finding 3D similarities in protein structures
3. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
4. Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment
5. High resolution comparative modeling with RosettaCM
6. Protein secondary structure prediction based on position-specific scoring matrices.
7. PatchDock and SymmDock: servers for rigid and symmetric docking
8. Accelerating Protein Docking in ZDOCK Using an Advanced 3D Convolution Library (PLoS ONE)
9. The HADDOCK web server for data-driven biomolecular docking (Nature Protocols)
10. Synthetic therapeutic peptides: science and market. (Drug Discovery Today)

Their papers

• Fpocket: An open source platform for ligand pocket detection (2009) — 1,462 citations
• InterEvDock2: an expanded server for protein docking using evolutionary and biological information from homology models and multimeric inputs (2018) — 50 citations
• PEP-FOLD: an online resource for de novo peptide structure prediction (2009) — 406 citations
• Improved PEP-FOLD Approach for Peptide and Miniprotein Structure Prediction. (2014) — 599 citations
• PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides (2012) — 632 citations
• PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex (2016) — 958 citations