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Francisco Guerra

Bio: Francisco Guerra is an academic researcher from Scripps Research Institute. The author has contributed to research in topics: Software system & Data acquisition. The author has an hindex of 2, co-authored 2 publications receiving 1334 citations.

Papers
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Journal ArticleDOI
TL;DR: The primary automated data acquisition software system, Leginon, has been completely redesigned over the past two years and the system has demonstrated the capacity for high throughput data acquisition by acquiring images of more than 100,000 particles in a single session at the microscope.

1,505 citations

Journal ArticleDOI
TL;DR: The current performance of the existing systems and the future challenges involved in substantially improving both the sustained throughput and the yield of automated data collection and analysis are reported.
Abstract: Although the methodology of molecular microscopy has enormous potential, it is time consuming and labor intensive. The techniques required to produce a three-dimensional (3D) electron density map of a macromolecular structure normally require manual operation of an electron microscope by a skilled operator and manual supervision of the sometimes complex software needed for analysis and calculation of 3D maps. Systems to automate the process of data acquisition from an electron microscope are being developing and these systems are being integrated with specimen handling operations and post acquisition data processing. Here, the current performance of our existing systems and the future challenges involved in substantially improving both the sustained throughput and the yield of automated data collection and analysis are reported.

23 citations


Cited by
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Journal ArticleDOI
16 Apr 2020-Cell
TL;DR: It is demonstrating that cross-neutralizing antibodies targeting conserved S epitopes can be elicited upon vaccination, and it is shown that SARS-CoV-2 S uses ACE2 to enter cells and that the receptor-binding domains of Sars- coV- 2 S and SARS S bind with similar affinities to human ACE2, correlating with the efficient spread of SATS among humans.

7,219 citations

Journal ArticleDOI
TL;DR: Probing the various interfaces of nanoparticle/biological interfaces allows the development of predictive relationships between structure and activity that are determined by nanomaterial properties such as size, shape, surface chemistry, roughness and surface coatings.
Abstract: Rapid growth in nanotechnology is increasing the likelihood of engineered nanomaterials coming into contact with humans and the environment. Nanoparticles interacting with proteins, membranes, cells, DNA and organelles establish a series of nanoparticle/biological interfaces that depend on colloidal forces as well as dynamic biophysicochemical interactions. These interactions lead to the formation of protein coronas, particle wrapping, intracellular uptake and biocatalytic processes that could have biocompatible or bioadverse outcomes. For their part, the biomolecules may induce phase transformations, free energy releases, restructuring and dissolution at the nanomaterial surface. Probing these various interfaces allows the development of predictive relationships between structure and activity that are determined by nanomaterial properties such as size, shape, surface chemistry, roughness and surface coatings. This knowledge is important from the perspective of safe use of nanomaterials.

6,075 citations

Journal ArticleDOI
TL;DR: Developments that reduce the computational costs of the underlying maximum a posteriori (MAP) algorithm, as well as statistical considerations that yield new insights into the accuracy with which the relative orientations of individual particles may be determined are described.

4,554 citations

Journal ArticleDOI
18 May 2020-Nature
TL;DR: Several monoclonal antibodies that target the S glycoprotein of SARS-CoV-2, which was identified from memory B cells of an individual who was infected with severe acute respiratory syndrome coronavirus (SARS- coV) in 2003, and one antibody (named S309) potently neutralization, which may limit the emergence of neutralization-escape mutants.
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a newly emerged coronavirus that is responsible for the current pandemic of coronavirus disease 2019 (COVID-19), which has resulted in more than 3.7 million infections and 260,000 deaths as of 6 May 20201,2. Vaccine and therapeutic discovery efforts are paramount to curb the pandemic spread of this zoonotic virus. The SARS-CoV-2 spike (S) glycoprotein promotes entry into host cells and is the main target of neutralizing antibodies. Here we describe several monoclonal antibodies that target the S glycoprotein of SARS-CoV-2, which we identified from memory B cells of an individual who was infected with severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003. One antibody (named S309) potently neutralizes SARS-CoV-2 and SARS-CoV pseudoviruses as well as authentic SARS-CoV-2, by engaging the receptor-binding domain of the S glycoprotein. Using cryo-electron microscopy and binding assays, we show that S309 recognizes an epitope containing a glycan that is conserved within the Sarbecovirus subgenus, without competing with receptor attachment. Antibody cocktails that include S309 in combination with other antibodies that we identified further enhanced SARS-CoV-2 neutralization, and may limit the emergence of neutralization-escape mutants. These results pave the way for using S309 and antibody cocktails containing S309 for prophylaxis in individuals at a high risk of exposure or as a post-exposure therapy to limit or treat severe disease.

1,546 citations

Journal ArticleDOI
TL;DR: The primary automated data acquisition software system, Leginon, has been completely redesigned over the past two years and the system has demonstrated the capacity for high throughput data acquisition by acquiring images of more than 100,000 particles in a single session at the microscope.

1,505 citations