Nikolaos G. Sgourakis

Molecular Biology · 2011–2020

A researcher in the Science corpus: 14 papers; trusts 83 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 521 citations into it; #7,455 of 17,773 by trust here, #4,731 by citations
• Materials Chemistry — 283 citations into it; #7,193 of 11,513 by trust here, #4,660 by citations
• Computational Biology & Bioinformatics — 103 citations into it; #617 of 660 by trust here, #442 by citations
• Spectroscopy — 76 citations into it; #906 of 1,674 by trust here, #387 by citations
• Radiology, Nuclear Medicine and Imaging — 56 citations into it
• Genetics — 23 citations into it
• AI for Physical Sciences — 13 citations into it
• Nuclear and High Energy Physics — 13 citations into it

Whom Nikolaos G. Sgourakis trusts overall

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

1. Oliver F. Lange
2. David Baker
3. Yang Shen
4. Philip Bradley
5. Johannes Söding
6. Peter Güntert
7. Rhiju Das
8. Debora Marks
9. Martin Blackledge
10. P. Rossi

Who trusts Nikolaos G. Sgourakis overall

1. Santrupti Nerli
2. Andrew C. McShan
3. Julia Koehler Leman
4. Georg Kuenze
5. John Moult
6. Oliver F. Lange
7. Gaetano T. Montelione

Papers from Nikolaos G. Sgourakis's perspective

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

1. Protein homology detection by HMM?CHMM comparison
2. Toward High-Resolution de Novo Structure Prediction for Small Proteins
3. Protein data bank
4. The Protein Data Bank.
5. Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
6. Protein 3D Structure Computed from Evolutionary Sequence Variation
7. Alternate states of proteins revealed by detailed energy landscape mapping
8. Atomic accuracy in predicting and designing non-canonical RNA structure
9. Protein structure prediction from sequence variation
10. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments

Their papers

• De novo design of a non-local β-sheet protein with high stability and accuracy (2018) — 107 citations
• Chemical shift-based methods in NMR structure determination (2018) — 61 citations
• Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
• Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings (2011) — 66 citations
• Determination of solution structures of proteins up to 40 kDa using CS-Rosetta with sparse NMR data from deuterated samples (2012) — 202 citations
• Programmable design of orthogonal protein heterodimers (2018) — 167 citations
• A hybrid NMR/SAXS-based approach for discriminating oligomeric protein interfaces using Rosetta (2014) — 34 citations
• Accurate protein structure modeling using sparse NMR data and homologous structure information (2012) — 42 citations
• Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra (2018) — 36 citations
• De novo design of a non-local beta-sheet protein with high stability and accuracy (2018)
• A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations (2018) — 34 citations
• CS-ROSETTA (2018) — 23 citations
• The structure of mouse cytomegalovirus m04 protein determined from sparse NMR data reveals a new fold of the m02-m06 family of viral immune modulators (2014) — 24 citations
• High-resolution structure of a Shigella type III secretion needle by solid-state NMR and cryo-electron microscopy (2014) — 111 citations