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Jeliazko R. Jeliazkov
Jeliazko R. Jeliazkov
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Year
The Rosetta all-atom energy function for macromolecular modeling and design
RF Alford, A Leaver-Fay, JR Jeliazkov, MJ O’Meara, FP DiMaio, H Park, ...
Journal of chemical theory and computation 13 (6), 3031-3048, 2017
12722017
Macromolecular modeling and design in Rosetta: recent methods and frameworks
JK Leman, BD Weitzner, SM Lewis, J Adolf-Bryfogle, N Alam, RF Alford, ...
Nature methods 17 (7), 665-680, 2020
5812020
Modeling and docking of antibody structures with Rosetta
BD Weitzner*, JR Jeliazkov*, S Lyskov*, N Marze, D Kuroda, R Frick, ...
Nature protocols 12 (2), 401, 2017
2642017
Targeting the CoREST complex with dual histone deacetylase and demethylase inhibitors
JH Kalin, M Wu, AV Gomez, Y Song, J Das, D Hayward, N Adejola, M Wu, ...
Nature communications 9 (1), 53, 2018
1992018
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
R Akbar, PA Robert, M Pavlović, JR Jeliazkov, I Snapkov, A Slabodkin, ...
Cell Reports 34 (11), 2021
1492021
An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants
JD Guest, T Vreven, J Zhou, I Moal, JR Jeliazkov, JJ Gray, Z Weng, ...
Structure 29 (6), 606-621. e5, 2021
792021
Plasma cells are the most abundant gluten peptide MHC-expressing cells in inflamed intestinal tissues from patients with celiac disease
LS H°ydahl, L Richter, R Frick, O Snir, KS Gunnarsen, OJB Landsverk, ...
Gastroenterology 156 (5), 1428-1439. e10, 2019
742019
Acidic C-terminal domains autoregulate the RNA chaperone Hfq
A Santiago-Frangos, JR Jeliazkov, JJ Gray, SA Woodson
Elife 6, e27049, 2017
642017
Repertoire analysis of antibody CDR-H3 loops suggests affinity maturation does not typically result in rigidification
JR Jeliazkov*, A Sljoka*, D Kuroda, N Tsuchimura, N Katoh, K Tsumoto, ...
Frontiers in immunology 9, 413, 2018
512018
Better together: Elements of successful scientific software development in a distributed collaborative community
J Koehler Leman, BD Weitzner, PD Renfrew, SM Lewis, R Moretti, ...
PLoS computational biology 16 (5), e1007507, 2020
342020
Robustification of rosettaantibody and rosetta snugdock
JR Jeliazkov, R Frick, J Zhou, JJ Gray
PloS one 16 (3), e0234282, 2021
252021
The structural basis of PTEN regulation by multi-site phosphorylation
DR Dempsey, T Viennet, R Iwase, E Park, S Henriquez, Z Chen, ...
Nature structural & molecular biology 28 (10), 858-868, 2021
212021
A high-affinity human TCR-like antibody detects celiac disease gluten peptide–MHC complexes and inhibits T cell activation
R Frick, LS H°ydahl, J Petersen, MF Du PrÚ, S Kumari, G Berntsen, ...
Science immunology 6 (62), eabg4925, 2021
212021
Caulobacter crescentus Hfq structure reveals a conserved mechanism of RNA annealing regulation
A Santiago-Frangos, KS Fr÷hlich, JR Jeliazkov, EM Małecka, G Marino, ...
Proceedings of the National Academy of Sciences 116 (22), 10978-10987, 2019
212019
Modeling oblong proteins and water‐mediated interfaces with RosettaDock in CAPRI rounds 28–35
NA Marze*, JR Jeliazkov*, SS Roy Burman, SE Boyken, F DiMaio, JJ Gray
Proteins: Structure, Function, and Bioinformatics 85 (3), 479-486, 2017
212017
Novel sampling strategies and a coarse‐grained score function for docking homomers, flexible heteromers, and oligosaccharides using Rosetta in CAPRI rounds 37–45
SS Roy Burman, ML Nance, JR Jeliazkov, JW Labonte, JH Lubin, ...
Proteins: Structure, Function, and Bioinformatics 88 (8), 973-985, 2020
182020
Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks
J Koehler Leman, S Lyskov, SM Lewis, J Adolf-Bryfogle, RF Alford, ...
Nature communications 12 (1), 6947, 2021
162021
Directed evolution for high functional production and stability of a challenging G protein-coupled receptor
Y WaltenspŘhl, JR Jeliazkov, L Kummer, A PlŘckthun
Scientific Reports 11 (1), 8630, 2021
122021
Non-H3 CDR template selection in antibody modeling through machine learning
X Long, JR Jeliazkov, JJ Gray
PeerJ 7, e6179, 2019
112019
Accurate positioning of functional residues with robotics-inspired computational protein design
C Krivacic, K Kundert, X Pan, RA Pache, L Liu, S O Conch˙ir, ...
Proceedings of the National Academy of Sciences 119 (11), e2115480119, 2022
82022
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