scholarly journals Ensemble Refinement of Protein Crystal Structures: Validation and Application

Structure ◽  
2007 ◽  
Vol 15 (9) ◽  
pp. 1040-1052 ◽  
Author(s):  
Elena J. Levin ◽  
Dmitry A. Kondrashov ◽  
Gary E. Wesenberg ◽  
George N. Phillips
Keyword(s):  
Crystal Structures ◽  
Protein Crystal

scholarly journals 4094 Structural Determinants of Immunogenicity for Peptide-Based Immunotherapy

2020 ◽  
Vol 4 (s1) ◽  
pp. 16-16
Author(s):  
Jason Devlin ◽  
Jesus Alonso ◽  
Grant Keller ◽  
Sara Bobisse ◽  
Alexandre Harari ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
T Cell ◽  
Molecular Dynamics Simulations ◽  
Crystal Structures ◽  
T Cell Receptor ◽  
Tumor Regression ◽  
Recombinant Expression ◽  
Cell Receptor ◽  
Protein Crystal ◽  
Dynamics Simulations

OBJECTIVES/GOALS: Neoantigen vaccine immunotherapies have shown promise in clinical trials, but identifying which peptides to include in a vaccine remains a challenge. We aim to establish that molecular structural features can help predict which neoantigens to target to achieve tumor regression. METHODS/STUDY POPULATION: Proteins were prepared by recombinant expression in E. coli followed by in vitro refolding. Correctly folded proteins were purified by chromatography. Affinities of protein-protein interactions were measured by surface plasmon resonance (SPR) and thermal stabilities of proteins were determined by differential scanning fluorimetry. All experiments were performed at least in triplicate. Protein crystals were obtained by hanging drop vapor diffusion. The protein crystal structures were solved by molecular replacement and underwent several rounds of automated refinement. Molecular dynamics simulations were performed using the AMBER molecular dynamics package. RESULTS/ANTICIPATED RESULTS: A T cell receptor (TCR) expressed by tumor-infiltrating T cells exhibited a 20-fold stronger binding affinity to the neoantigen peptide compared to the self-peptide. X-ray crystal structures of the peptides with the major histocompatibility complex (MHC) protein demonstrated that a non-mutated residue in the peptide samples different positions with the mutation. The difference in conformations of the non-mutated residue was supported by molecular dynamics simulations. Crystal structures of the TCR engaging both peptide/MHCs suggested that the conformation favored by the mutant peptide was crucial for TCR binding. The TCR bound the neoantigen/MHC with faster binding kinetics. DISCUSSION/SIGNIFICANCE OF IMPACT: Our results suggest that the mutation impacts the conformation of another residue in the peptide, and this alteration allows for more favorable T cell receptor binding to the neoantigen. This highlights the potential of non-mutated residues in contributing to neoantigen recognition.

Connecting Unexplored Protein Crystal Structures to Enzymatic Function

ChemCatChem ◽  
2012 ◽  
Vol 5 (1) ◽  
pp. 150-153 ◽  
Author(s):  
Fabian Steffen-Munsberg ◽  
Clare Vickers ◽  
Ahmad Thontowi ◽  
Sebastian Schätzle ◽  
Tony Tumlirsch ◽  
...  
Keyword(s):  
Crystal Structures ◽  
Protein Crystal ◽  
Enzymatic Function

scholarly journals Automated Real-Space Refinement of Protein Crystal Structures Using a Realistic Backbone Move Set

2011 ◽  
Vol 100 (3) ◽  
pp. 312a ◽  
Author(s):  
Esmael J. Haddadian ◽  
Haipeng Gong ◽  
Abhishek K. Jha ◽  
Xiaojing Yang ◽  
Joe DeBartolo ◽  
...  
Keyword(s):  
Crystal Structures ◽  
Real Space ◽  
Protein Crystal

scholarly journals Structure determination from powder diffraction data

2007 ◽  
Vol 64 (1) ◽  
pp. 52-64 ◽  
Author(s):  
W. I. F. David ◽  
K. Shankland
Keyword(s):  
Crystal Structures ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Structure Determination ◽  
Optimization Methods ◽  
Protein Crystal ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Combined Use ◽  
Complementary Techniques

Advances made over the past decade in structure determination from powder diffraction data are reviewed with particular emphasis on algorithmic developments and the successes and limitations of the technique. While global optimization methods have been successful in the solution of molecular crystal structures, new methods are required to make the solution of inorganic crystal structures more routine. The use of complementary techniques such as NMR to assist structure solution is discussed and the potential for the combined use of X-ray and neutron diffraction data for structure verification is explored. Structures that have proved difficult to solve from powder diffraction data are reviewed and the limitations of structure determination from powder diffraction data are discussed. Furthermore, the prospects of solving small protein crystal structures over the next decade are assessed.

scholarly journals Modelling bound ligands in protein crystal structures

2004 ◽  
Vol 60 (12) ◽  
pp. 2230-2239 ◽  
Author(s):  
P. H. Zwart ◽  
G. G. Langer ◽  
V. S. Lamzin
Keyword(s):  
Crystal Structures ◽  
Protein Crystal
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