Gevorg Grigoryan

Molecular Biology · 2011–2022

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 103 citations into it; #7,146 of 17,773 by trust here, #8,381 by citations
• Materials Chemistry — 53 citations into it; #3,824 of 11,513 by trust here, #7,472 by citations
• Computational Biology & Bioinformatics — 47 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Gevorg Grigoryan trusts overall

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

1. Yang Zhang
2. Andrew Leaver-Fay
3. David C. Jones
4. Stephen F. Altschul
5. Jeffrey Skolnick
6. Dmitrij Frishman
7. Ron Jacak
8. David Baker
9. Martin Christen Frølund Thomsen
10. Michael D. Tyka

Who trusts Gevorg Grigoryan overall

1. I. Samish
2. I. Korendovych
3. William F. DeGrado
4. Jianfu Zhou
5. Namrata Anand-Achim
6. Po-Ssu Huang

Papers from Gevorg Grigoryan's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
3. Basic local alignment search tool.
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Computational Protein Design with Explicit Consideration of Surface Hydrophobic Patches
6. Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
7. Protein data bank
8. Native protein sequences are close to optimal for their structures.
9. Highly accurate protein structure prediction with AlphaFold
10. The Rosetta all-atom energy function for macromolecular modeling and design

Their papers

• Computational Design of Virus-like Protein Assemblies on Carbon Nanotube Surfaces (2011) — 206 citations
• Tertiary alphabet for the observable protein structural universe (2016) — 72 citations
• De novo design of a transmembrane Zn2+-transporting four-helix bundle (2014) — 291 citations
• A general-purpose protein design framework based on mining sequence–structure relationships in known protein structures (2018) — 89 citations
• Illuminating protein space with a programmable generative model (2022) — 605 citations