Senior Researcher at National Academy of Sciences of Armenia, Armenia
Gevorg Avagovich Grigorian was born in 1962 in Nigavan, Aragatsotn, Armenia. He graduated in 1985 from the Department of Mechanics-Mathematics at Rostov State University, specializing in mathematics. From 1985 to 1992, he worked as an engineer-programmer at the Kirovakan Science Institute of Production “Ardatomatika.” In 1992, he joined the Mathematical Physics Center of Byurakan Astrophysical Observatory as a research assistant and earned his PhD in mathematical physics in 1998. Since 2005, he has been a senior researcher at the Institute of Mathematics, National Academy of Sciences of Armenia, with 27 research papers to his name. Differential Equations
Professional Profiles
Education
Institute of Mathematics of the National Academy of Sience of the Rwepublic of Armenia, In 1980, I entered the Department of Mechanics-Mathematics at Rostov State University. I graduated in 1985 with a specialization in mathematics. Differential Equations
Experience
In 2005, I became a senior researcher at the Institute of Mathematics, National Academy of Sciences of Armenia. Throughout my career, I have published 27 research papers.. From 1985 to 1992, I worked at the Kirovakan Science Institute of Production “Ardatomatika” as an engineer-programmer. Differential Equations
Research Career
In 1992, I joined the Mathematical Physics Center of Byurakan Astrophysical Observatory as a research assistant. In 1998, I defended my thesis in mathematical physics and earned the title of Candidate of Mathematical Physics Science (PhD).
Research Focus
Gevorg Grigoryan focuses on the computational design and structural specificity of protein interactions, particularly within coiled-coil structures and bZIP-binding peptides. His research explores the de novo design of proteins, including transmembrane helix bundles and virus-like assemblies, and he investigates protein-protein interaction specificity. Grigoryan’s work also encompasses the development of models and frameworks for protein design, leveraging sequence-structure relationships to predict interaction partners and design new protein functionalities. His notable contributions include the design of variant-resistant epitopes and the computational assembly of protein structures on nanomaterials, demonstrating broad applications in structural biology and bioengineering. Differential Equations
Publications
- A Comparison of Antibody-Antigen Complex Sequence-to-Structure Prediction Methods and their Systematic Biases, Publication date: 2024.
- A significance score for protein–protein interaction models through random docking, Publication date: 2024.
- Illuminating protein space with a programmable generative model, Publication date: 2023.
- Neural network‐derived Potts models for structure‐based protein design using backbone atomic coordinates and tertiary motifs, Publication date: 2023.
- Basis for high-affinity ethylene binding by the ethylene receptor ETR1 of Arabidopsis, Publication date: 2023.
- Gap detection responses modelled using the Hill equation in adults with well-controlled HIV, Publication date: 2023.
- Structural files for the ETR1 ethylene-receptor dimer based on computational modeling, Publication date: 2023.
- 1348. Identification of GB-0669, a Novel S-2 Targeted Spike Monoclonal Antibody in Development for SARS-CoV-2 Prophylaxis, Publication date: 2023.
- Antigen Binding Molecules Targeting SARS-CoV-2, Publication date: 2023.
- Multiplex measurement of protein–peptide dissociation constants using dialysis and mass spectrometry, Publication date: 2023.
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