biomolecular structure
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2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Joseph M. Slocik ◽  
Patrick B. Dennis ◽  
Zhifeng Kuang ◽  
Anthony Pelton ◽  
Rajesh R. Naik

AbstractAntibodies represent highly specific and high binding affinity biomolecular recognition elements for diagnostic assays, biosensors, and therapeutics, but are sensitive to denaturation and degradation. Consequently, the combination of existing in a hydrated state with a large and complex biomolecular structure results in loss of antibody-antigen binding, limited shelf-life, and decreased sensor response over time and under non-optimal conditions. The development and use of water-free protein liquids has led to stabilization of labile biomolecules, solvents for biotransformation reactions, and formation of new bio-composites with incompatible materials. Here, we exploit the polycationic nature of modified antibodies and their ability to form ion pairs for the conversion of primary Immunoglobulin G antibodies into stable protein liquids that retained more than 60% binding activity after repeated heating up to 125 °C, and demonstrate compatibility with thermoplastics.


2021 ◽  
pp. 291-320
Author(s):  
Stephen H. White ◽  
Gunnar von Heijne ◽  
Donald M. Engelman

2021 ◽  
Vol 8 ◽  
Author(s):  
Sarah A. Overall ◽  
Alexander B. Barnes

In-cell DNP is a growing application of NMR to the study of biomolecular structure and function within intact cells. An important unresolved question for in-cell DNP spectroscopy is the integrity of cellular samples under the cryogenic conditions of DNP. Despite the rich literature around cryopreservation of cells in the fields of stem cell/embryonic cell therapeutics, cell line preservation and in cryo-EM applications, the effect of cryopreservation procedures on DNP parameters is unclear. In this report we investigate cell survival and apoptosis in the presence of cryopreserving agents and DNP radicals. We also assess the effects of these reagents on cellular enhancements. We show that the DNP radical AMUPol has no effect on membrane permeability and does not induce apoptosis. Furthermore, the standard aqueous glass forming reagent, comprised of 60/30/10 d8-glycerol/D2O/H2O (DNP juice), rapidly dehydrates cells and induces apoptosis prior to freezing, reducing structural integrity of the sample prior to DNP analysis. Preservation with d6-DMSO at 10% v/v provided similar DNP enhancements per √unit time compared to glycerol preservation with superior maintenance of cell size and membrane integrity prior to freezing. DMSO preservation also greatly enhanced post-thaw survival of cells slow-frozen at 1°C/min. We therefore demonstrate that in-cell DNP-NMR studies should be done with d6-DMSO as cryoprotectant and raise important considerations for the progression of in-cell DNP-NMR towards the goal of high quality structural studies.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kyle J. Tomek ◽  
Kevin Volkel ◽  
Elaine W. Indermaur ◽  
James M. Tuck ◽  
Albert J. Keung

AbstractDNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media. The unique molecular architecture of DNA storage also prompts important discussions on how data should be organized, accessed, and manipulated and what practical functionalities may be possible. Here we leverage thermodynamic tuning of biomolecular interactions to implement useful data access and organizational features. Specific sets of environmental conditions including distinct DNA concentrations and temperatures were screened for their ability to switchably access either all DNA strands encoding full image files from a GB-sized background database or subsets of those strands encoding low resolution, File Preview, versions. We demonstrate File Preview with four JPEG images and provide an argument for the substantial and practical economic benefit of this generalizable strategy to organize data.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Eitan Lerner ◽  
Anders Barth ◽  
Jelle Hendrix ◽  
Benjamin Ambrose ◽  
Victoria Birkedal ◽  
...  

Single-molecule FRET (smFRET) has become a mainstream technique for studying biomolecular structural dynamics. The rapid and wide adoption of smFRET experiments by an ever-increasing number of groups has generated significant progress in sample preparation, measurement procedures, data analysis, algorithms and documentation. Several labs that employ smFRET approaches have joined forces to inform the smFRET community about streamlining how to perform experiments and analyze results for obtaining quantitative information on biomolecular structure and dynamics. The recent efforts include blind tests to assess the accuracy and the precision of smFRET experiments among different labs using various procedures. These multi-lab studies have led to the development of smFRET procedures and documentation, which are important when submitting entries into the archiving system for integrative structure models, PDB-Dev. This position paper describes the current ‘state of the art’ from different perspectives, points to unresolved methodological issues for quantitative structural studies, provides a set of ‘soft recommendations’ about which an emerging consensus exists, and lists openly available resources for newcomers and seasoned practitioners. To make further progress, we strongly encourage ‘open science’ practices.


2021 ◽  
Vol 120 (3) ◽  
pp. 290a
Author(s):  
Raphael Townshend ◽  
Ligia Melo ◽  
David Liu ◽  
Ron O. Dror

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jorge H. Rodriguez ◽  
Akshita Gupta

AbstractSeveral viruses of the corona family interact, via their spike (S) proteins, with human cellular receptors. Spike proteins of SARS-CoV-1 and SARS-CoV-2 virions, being structurally related but not identical, mediate attachment to the human angiotensin-converting enzyme 2 (hACE2) receptor in similar but non-identical ways. Molecular-level understanding of interactions between spike proteins and hACE2 can aid strategies for blocking attachment of SARS-CoV-1, a potentially reemerging health threat, to human cells. We have identified dominant molecular-level interactions, some attractive and some repulsive, between the receptor binding domain of SARS-CoV-1 spike proteins (S-RBD) and hACE2. We performed fragment-based quantum-biochemical calculations which directly relate biomolecular structure to the hACE2...S-RBD interaction energy. Consistent with X-ray crystallography and cryo-EM, the interaction energy between hACE2 and S-RBD ($$\approx -$$ ≈ - 26 kcal/mol) corresponds to a net intermolecular attraction which is significantly enhanced by inclusion of dispersion van der Waals forces. Protein fragments at the hACE2...S-RBD interface, that dominate host-virus attraction, have been identified together with their constituent amino acid residues. Two hACE2 fragments which include residues (GLU37, ASP38, TYR41, GLN42) and (GLU329, LYS353, GLY354), respectively, as well as three S-RBD fragments which include residues (TYR436), (ARG426) and (THR487, GLY488, TYR491), respectively, have been identified as primary attractors at the hACE2...S-RBD interface.


2021 ◽  
Vol 2 (1) ◽  
pp. 108-122
Author(s):  
Kathy H. Le ◽  
Jared Adolf-Bryfogle ◽  
Jason C. Klima ◽  
Sergey Lyskov ◽  
Jason W. Labonte ◽  
...  

ABSTRACT Biomolecular structure drives function, and computational capabilities have progressed such that the prediction and computational design of biomolecular structures is increasingly feasible. Because computational biophysics attracts students from many different backgrounds and with different levels of resources, teaching the subject can be challenging. One strategy to teach diverse learners is with interactive multimedia material that promotes self-paced, active learning. We have created a hands-on education strategy with a set of 16 modules that teach topics in biomolecular structure and design, from fundamentals of conformational sampling and energy evaluation to applications, such as protein docking, antibody design, and RNA structure prediction. Our modules are based on PyRosetta, a Python library that encapsulates all computational modules and methods in the Rosetta software package. The workshop-style modules are implemented as Jupyter Notebooks that can be executed in the Google Colaboratory, allowing learners access with just a Web browser. The digital format of Jupyter Notebooks allows us to embed images, molecular visualization movies, and interactive coding exercises. This multimodal approach may better reach students from different disciplines and experience levels, as well as attract more researchers from smaller labs and cognate backgrounds to leverage PyRosetta in science and engineering research. All materials are freely available at https://github.com/RosettaCommons/PyRosetta.notebooks.


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