Mikael E. Trellet

Molecular Biology · 2012–2024

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 104 citations into it; #9,489 of 17,773 by trust here, #7,384 by citations
• Materials Chemistry — 46 citations into it
• Computational Theory and Mathematics — 34 citations into it; #9,603 of 12,182 by trust here, #3,924 by citations
• Computational Biology & Bioinformatics — 32 citations into it
• Spectroscopy — 9 citations into it

Whom Mikael E. Trellet trusts overall

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

1. S. Parasuraman
2. Matthias Heinig
3. Joël Janin
4. Peter Csermely
5. Francesca Diella
6. Alexandre M. J. J. Bonvin
7. Sjoerd Jacob de Vries
8. Dmitrij Frishman
9. Robin Palotai
10. S. D. de Vries

Who trusts Mikael E. Trellet overall

1. Pei-Zhang Zhou
2. Andy Chi-Lung Lee
3. Alexandre M. J. J. Bonvin
4. Rodrigo Vargas Honorato
5. Bowen Jin
6. Zeynep Kurkcuoglu
7. J. Harris
8. Cunliang Geng

Papers from Mikael E. Trellet's perspective

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

1. Protein data bank
2. Small-molecule inhibitors of protein–protein interactions: progressing towards the dream
3. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
4. The HADDOCK web server for data-driven biomolecular docking (Nature Protocols)
5. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
6. CAPRI: A Critical Assessment of PRedicted Interactions (Proteins: Structure, Function, and Bioinformatics)
7. Assessing predictions of protein–protein interaction: The CAPRI experiment
8. PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.
9. Biological Crystallography Experimental Phasing with Shelxc/d/e: Combining Chain Tracing with Density Modification
10. Sequence co-evolution gives 3D contacts and structures of protein complexes

Their papers

• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• A Unified Conformational Selection and Induced Fit Approach to Protein-Peptide Docking (2013) — 182 citations
• Clustering biomolecular complexes by residue contacts similarity (2012) — 123 citations
• The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes. (2016) — 2,479 citations
• Performance of HADDOCK and a simple contact-based protein–ligand binding affinity predictor in the D3R Grand Challenge 2 (2017) — 130 citations
• The HADDOCK2.4 web server for integrative modeling of biomolecular complexes (2024) — 478 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations