Martin Zacharias

Molecular Biology · 2003–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 72 citations into it; #2,274 of 17,773 by trust here, #11,410 by citations
• Materials Chemistry — 29 citations into it; #1,426 of 11,513 by trust here, #9,267 by citations
• Computational Theory and Mathematics — 15 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Martin Zacharias trusts overall

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

1. Ilya A. Vakser
2. Pinak Chakrabarti
3. D. Ritchie
4. Joël Janin
5. Roland L. Dunbrack
6. Inbal Halperin
7. Raquel Norel

Who trusts Martin Zacharias overall

1. Alexandre M. J. J. Bonvin
2. Shengyou Huang
3. Nelly Andrusier
4. Xiaoqin Zou
5. Efrat Mashiach
6. Ruth Nussinov
7. Haim J. Wolfson
8. D. Ritchie
9. W. Noid
10. Valentina Tozzini

Papers from Martin Zacharias's perspective

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

1. Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.
2. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
3. Dissecting protein–protein recognition sites (Proteins: Structure, Function, and Bioinformatics)
4. Prediction of protein-protein interactions by docking methods. (Current Opinion in Structural Biology)
5. Principles of protein-protein interactions (European Conference on Computational Biology)
6. Protein docking using spherical polar Fourier correlations (Proteins: Structure, Function, and Bioinformatics)
7. Principles of docking: An overview of search algorithms and a guide to scoring functions
8. Evaluation of GRAMM low‐resolution docking methodology on the hemagglutinin‐antibody complex
9. BiGGER: A new (soft) docking algorithm for predicting protein interactions (Proteins: Structure, Function, and Bioinformatics)
10. Docking and scoring protein complexes: CAPRI 3rd Edition

Their papers

• Protein–protein docking with a reduced protein model accounting for side‐chain flexibility (2003) — 338 citations
• Fully Blind Peptide-Protein Docking with pepATTRACT. (2015) — 113 citations
• CHARMM-GUI supports the Amber force fields. (2020) — 374 citations
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 citations