User profiles for J. R. Jeliazkov

Jeliazko R. Jeliazkov

GlaxoSmithKline
Verified email at gsk.com
Cited by 2845

Macromolecular modeling and design in Rosetta: recent methods and frameworks

…, PS Huang, T Huber, TM Jacobs, JR Jeliazkov… - Nature …, 2020 - nature.com
The Rosetta software for macromolecular modeling, docking and design is extensively used
in laboratories worldwide. During two decades of development by a community of …

The Rosetta all-atom energy function for macromolecular modeling and design

RF Alford, A Leaver-Fay, JR Jeliazkov… - Journal of chemical …, 2017 - ACS Publications
Over the past decade, the Rosetta biomolecular modeling suite has informed diverse
biological questions and engineering challenges ranging from interpretation of low-resolution …

Modeling and docking of antibody structures with Rosetta

BD Weitzner, JR Jeliazkov, S Lyskov, N Marze… - Nature protocols, 2017 - nature.com
We describe Rosetta-based computational protocols for predicting the 3D structure of an
antibody from sequence (RosettaAntibody) and then docking the antibody to protein antigens (…

[HTML][HTML] Targeting the CoREST complex with dual histone deacetylase and demethylase inhibitors

…, JM Roberts, P Prusevich, JR Jeliazkov… - Nature …, 2018 - nature.com
Here we report corin, a synthetic hybrid agent derived from the class I HDAC inhibitor (entinostat)
and an LSD1 inhibitor (tranylcypromine analog). Enzymologic analysis reveals that …

[PDF][PDF] A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

R Akbar, PA Robert, M Pavlović, JR Jeliazkov… - Cell Reports, 2021 - cell.com
Antibody-antigen binding relies on the specific interaction of amino acids at the paratope-epitope
interface. The predictability of antibody-antigen binding is a prerequisite for de novo …

[PDF][PDF] 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… - Structure, 2021 - cell.com
Accurate predictive modeling of antibody-antigen complex structures and structure-based
antibody design remain major challenges in computational biology, with implications for …

Plasma cells are the most abundant gluten peptide MHC-expressing cells in inflamed intestinal tissues from patients with celiac disease

…, OJB Landsverk, R Iversen, JR Jeliazkov… - Gastroenterology, 2019 - Elsevier
Background & Aims Development of celiac disease is believed to involve the
transglutaminase-dependent response of CD4 + T cells toward deamidated gluten peptides in the …

Acidic C-terminal domains autoregulate the RNA chaperone Hfq

A Santiago-Frangos, JR Jeliazkov, JJ Gray… - Elife, 2017 - elifesciences.org
10.7554/eLife.27049.001 The RNA chaperone Hfq is an Sm protein that facilitates base
pairing between bacterial small RNAs (sRNAs) and mRNAs involved in stress response and …

The structural basis of PTEN regulation by multi-site phosphorylation

…, E Park, S Henriquez, Z Chen, JR Jeliazkov… - Nature structural & …, 2021 - nature.com
Phosphatase and tensin homolog (PTEN) is a phosphatidylinositol-3,4,5-triphosphate (PIP
3 ) phospholipid phosphatase that is commonly mutated or silenced in cancer. PTEN’s …

[HTML][HTML] Repertoire analysis of antibody CDR-H3 loops suggests affinity maturation does not typically result in rigidification

JR Jeliazkov, A Sljoka, D Kuroda… - Frontiers in …, 2018 - frontiersin.org
Antibodies can rapidly evolve in specific response to antigens. Affinity maturation drives this
evolution through cycles of mutation and selection leading to enhanced antibody specificity …