Our work highlighted by the Oak Ridge Leadership Computing Facility
Our work was included in the OLCF’s 2025 year in review.
Tag: electron microscopy
NEW INCITE POJECT AWARDED FOR 2026
Our INCITE Award was competitively renewed for 2026 by the DOE Office of Science. Open to researchers from academia, government laboratories, and industry, the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program is the major means by which the scientific community gains access to the world’s fastest supercomputers. The program aims to accelerate […]
NEW INCITE POJECT AWARDED FOR 2024
Our INCITE Award was competitively renewed for 2024 by the DOE Office of Science. The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program accelerates scientific discoveries and technological innovations by awarding, on a competitive basis, time on the world’s fastest supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science and […]
NEW INCITE POJECT AWARDED FOR 2023
Our INCITE Award was competitively renewed for 2023 by the DOE Office of Science. The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program accelerates scientific discoveries and technological innovations by awarding, on a competitive basis, time on the world’s fastest supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science and […]
NEW INCITE POJECT AWARDED FOR 2022
Our INCITE Award was competitively renewed for 2022 by the DOE Office of Science. The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program accelerates scientific discoveries and technological innovations by awarding, on a competitive basis, time on the world’s fastest supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science and […]
NEW INCITE POJECT AWARDED FOR 2020
Our INCITE Award was competitively renewed for 2020 by the DOE Office of Science. The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program accelerates scientific discoveries and technological innovations by awarding, on a competitive basis, time on the world’s fastest supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science and engineering. Our […]
New INCITE Award provides access to the Oak Ridge Leadership Computing Facility
Ivaylo received a new INCITE Award from the DOE Office of Science. The Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program accelerates scientific discoveries and technological innovations by awarding, on a competitive basis, time on the world’s fastest supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science […]
New Paper in the Journal Cell Discovery
Congratulation to Dr. Chunli Yan who published a new paper combining computational modeling and cryo-electron microscopy to unveil structures of pre-initiation complexes of RNA Polymerase III. Han, Y.; Yan, C.; Fishbain, S.; Ivanov, I. & He, Y. Structural visualization of RNA polymerase III transcription machineries. Cell Discovery (2018) (in press)
KEYSTONE SYMPOSIUM ON CRYO-EM
Ivaylo attended the 2018 Keystone Symposium “Cryo-EM from Cells to Molecules: Multi-Scale Visualization of Biological Systems” and presented our new findings on the transcription initiation by RNA polymerase I.
New Paper in the Journal eLife
Congratulation to Dr. Chunli Yan who published a new paper on combining computational modeling and Cryo-electron microscopy to uncover the mechanisms of transcription initiation. Han, Y.; Yan, C.; Nguyen, K.; Jackobel, A.; Ivanov, I.; Knutson, B.A.; He, Y. Structural mechanism of ATP-independent transcription initiation by RNA polymerase I. eLife (2017) 6, e27414, doi:10.7554/eLife.27414
New PNAS paper on FEN1/DNA clamp complexes
Our collaborative efforts with Berkeley/LBNL have led to a combined experimental/computational publication ‘Repair complexes of FEN1, DNA and Rad9-Hus1-Rad1 are distinguished from their PCNA counterparts by functionally important stability’ currently in press in Proceedings of the National Academy of Science U.S.A.
Integrative Biomolecular Modeling 