Juan Fernández-Recio

Molecular Biology · 2007–2021

A researcher in the Science corpus: 11 papers; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 208 citations into it; #1,860 of 17,773 by trust here, #3,737 by citations
• Materials Chemistry — 111 citations into it; #2,829 of 11,513 by trust here, #5,355 by citations
• Computational Theory and Mathematics — 63 citations into it; #3,713 of 12,182 by trust here, #1,117 by citations
• Computational Biology & Bioinformatics — 59 citations into it
• Radiology, Nuclear Medicine and Imaging — 23 citations into it
• Artificial Intelligence — 14 citations into it
• Computational Chemistry & Drug Discovery — 13 citations into it
• Information Systems — 9 citations into it

Whom Juan Fernández-Recio trusts overall

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

1. Iain H. Moal
2. D. Ritchie
3. Joël Janin
4. Rong Chen
5. Alexandre M. J. J. Bonvin
6. Marc F. Lensink
7. Mieczyslaw Torchala
8. Jeffrey J. Gray
9. Zhiping Weng
10. Brian G. Pierce

Who trusts Juan Fernández-Recio overall

1. Iain H. Moal
2. Jeffrey R. Brender
3. Justina Jankauskaite
4. Sankar Basu
5. Mieczyslaw Torchala
6. Shengyou Huang
7. Yang Zhang
8. Thom Vreven
9. Björn Wallner
10. Brian Jiménez-García

Papers from Juan Fernández-Recio's perspective

Ordered by how strongly the researchers Juan Fernández-Recio trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
2. A protein–protein docking benchmark (Proteins: Structure, Function, and Bioinformatics)
3. TM-align: a protein structure alignment algorithm based on the TM-score
4. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
5. Principles of protein-protein interactions (European Conference on Computational Biology)
6. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
7. Small-molecule inhibitors of protein–protein interactions: progressing towards the dream
8. Robust, high-throughput solution structural analyses by small angle X-ray scattering (SAXS) (Nature Methods)
9. Protein stability promotes evolvability.
10. Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment

Their papers

• Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
• The scoring of poses in protein-protein docking: current capabilities and future directions (2013) — 110 citations
• Intermolecular Contact Potentials for Protein-Protein Interactions Extracted from Binding Free Energy Changes upon Mutation. (2013) — 39 citations
• SwarmDock: a server for flexible protein-protein docking (2013) — 261 citations
• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• SKEMPI 2.0: an updated benchmark of changes in protein–protein binding energy, kinetics and thermodynamics upon mutation (2018) — 372 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• Updates to the integrated protein-protein interaction benchmarks: Docking benchmark version 5 and affinity benchmark version 2 (2015) — 424 citations
• pyDock: Electrostatics and desolvation for effective scoring of rigid‐body protein–protein docking (2007) — 313 citations
• PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations