Mieczyslaw Torchala

Molecular Biology · 2013–2016

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 98 citations into it; #5,765 of 17,773 by trust here, #5,452 by citations
• Materials Chemistry — 54 citations into it; #9,213 of 11,513 by trust here, #6,743 by citations
• Computational Theory and Mathematics — 28 citations into it; #5,698 of 12,182 by trust here, #1,748 by citations
• Computational Biology & Bioinformatics — 22 citations into it
• Artificial Intelligence — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Information Systems — 9 citations into it
• Genetics — 6 citations into it

Whom Mieczyslaw Torchala trusts overall

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

1. Joël Janin
2. Marc F. Lensink
3. Iain H. Moal
4. Rong Chen
5. Hang Li
6. Zhiping Weng
7. Brian G. Pierce
8. D. Ritchie
9. Jun Xu
10. Sergey Lyskov

Who trusts Mieczyslaw Torchala overall

1. Sankar Basu
2. Iain H. Moal
3. Björn Wallner
4. Octavian-Eugen Ganea
5. Kathryn A. Porter
6. N. S. Pagadala
7. Rui Yin
8. Marc F. Lensink
9. Israel T. Desta
10. Gaoqi Weng

Papers from Mieczyslaw Torchala's perspective

Ordered by how strongly the researchers Mieczyslaw Torchala 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. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
4. Docking and scoring protein complexes: CAPRI 3rd Edition
5. TM-align: a protein structure alignment algorithm based on the TM-score
6. HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.
7. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
8. Small-molecule inhibitors of protein–protein interactions: progressing towards the dream
9. Protein stability promotes evolvability.
10. Robust, high-throughput solution structural analyses by small angle X-ray scattering (SAXS) (Nature Methods)

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
• SwarmDock: a server for flexible protein-protein docking (2013) — 261 citations
• Updates to the integrated protein-protein interaction benchmarks: Docking benchmark version 5 and affinity benchmark version 2 (2015) — 424 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations