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Dive into the research topics where Ahmad Hosseinizadeh is active.

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Featured researches published by Ahmad Hosseinizadeh.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Trajectories of the ribosome as a Brownian nanomachine

Ali Dashti; Peter Schwander; Robert Langlois; Russell Fung; Wen Li; Ahmad Hosseinizadeh; Hstau Y. Liao; Jesper Pallesen; Gyanesh Sharma; Vera A. Stupina; Anne E. Simon; Jonathan D. Dinman; Joachim Frank; A. Ourmazd

Significance Many functions in the cell are performed by Brownian machines, macromolecular assemblies that use energy from the thermal environment for many of the conformational changes involved in their work cycles. Here we present a new approach capable of mapping the continuous motions of such nanomachines along their trajectories in the free-energy landscape and demonstrate this capability in the context of experimental cryogenic electron microscope snapshots of the ribosome, the nanomachine responsible for protein synthesis in all living organisms. We believe our approach constitutes a universal platform for the analysis of free-energy landscapes and conformational motions of molecular nanomachines and their dependencies on temperature, buffer conditions, and regulatory factors. A Brownian machine, a tiny device buffeted by the random motions of molecules in the environment, is capable of exploiting these thermal motions for many of the conformational changes in its work cycle. Such machines are now thought to be ubiquitous, with the ribosome, a molecular machine responsible for protein synthesis, increasingly regarded as prototypical. Here we present a new analytical approach capable of determining the free-energy landscape and the continuous trajectories of molecular machines from a large number of snapshots obtained by cryogenic electron microscopy. We demonstrate this approach in the context of experimental cryogenic electron microscope images of a large ensemble of nontranslating ribosomes purified from yeast cells. The free-energy landscape is seen to contain a closed path of low energy, along which the ribosome exhibits conformational changes known to be associated with the elongation cycle. Our approach allows model-free quantitative analysis of the degrees of freedom and the energy landscape underlying continuous conformational changes in nanomachines, including those important for biological function.


Scientific Data | 2016

Coherent diffraction of single Rice Dwarf virus particles using hard X-rays at the Linac Coherent Light Source

Anna Munke; Jakob Andreasson; Andrew Aquila; Salah Awel; Kartik Ayyer; Anton Barty; Richard Bean; Peter Berntsen; Johan Bielecki; Sébastien Boutet; Maximilian Bucher; Henry N. Chapman; Benedikt J. Daurer; Hasan Demirci; Veit Elser; Petra Fromme; Janos Hajdu; Max F. Hantke; Akifumi Higashiura; Brenda G. Hogue; Ahmad Hosseinizadeh; Yoonhee Kim; Richard A. Kirian; Hemanth K. N. Reddy; Ti Yen Lan; Daniel S. D. Larsson; Haiguang Liu; N. Duane Loh; Filipe R. N. C. Maia; Adrian P. Mancuso

Single particle diffractive imaging data from Rice Dwarf Virus (RDV) were recorded using the Coherent X-ray Imaging (CXI) instrument at the Linac Coherent Light Source (LCLS). RDV was chosen as it is a well-characterized model system, useful for proof-of-principle experiments, system optimization and algorithm development. RDV, an icosahedral virus of about 70 nm in diameter, was aerosolized and injected into the approximately 0.1 μm diameter focused hard X-ray beam at the CXI instrument of LCLS. Diffraction patterns from RDV with signal to 5.9 Ångström were recorded. The diffraction data are available through the Coherent X-ray Imaging Data Bank (CXIDB) as a resource for algorithm development, the contents of which are described here.


Philosophical Transactions of the Royal Society B | 2014

High-resolution structure of viruses from random diffraction snapshots

Ahmad Hosseinizadeh; Peter Schwander; Ali Dashti; Russell Fung; R. M. D'Souza; A. Ourmazd

The advent of the X-ray free-electron laser (XFEL) has made it possible to record diffraction snapshots of biological entities injected into the X-ray beam before the onset of radiation damage. Algorithmic means must then be used to determine the snapshot orientations and thence the three-dimensional structure of the object. Existing Bayesian approaches are limited in reconstruction resolution typically to 1/10 of the object diameter, with the computational expense increasing as the eighth power of the ratio of diameter to resolution. We present an approach capable of exploiting object symmetries to recover three-dimensional structure to high resolution, and thus reconstruct the structure of the satellite tobacco necrosis virus to atomic level. Our approach offers the highest reconstruction resolution for XFEL snapshots to date and provides a potentially powerful alternative route for analysis of data from crystalline and nano-crystalline objects.


Nature Methods | 2017

Conformational landscape of a virus by single-particle X-ray scattering

Ahmad Hosseinizadeh; Ghoncheh Mashayekhi; Jeremy Copperman; Peter Schwander; Ali Dashti; Reyhaneh Sepehr; Russell Fung; Marius Schmidt; Chun Hong Yoon; Brenda G. Hogue; Garth J. Williams; Andrew Aquila; A. Ourmazd

Using a manifold-based analysis of experimental diffraction snapshots from an X-ray free electron laser, we determine the three-dimensional structure and conformational landscape of the PR772 virus to a detector-limited resolution of 9 nm. Our results indicate that a single conformational coordinate controls reorganization of the genome, growth of a tubular structure from a portal vertex and release of the genome. These results demonstrate that single-particle X-ray scattering has the potential to shed light on key biological processes.


Structural Dynamics | 2015

Single-particle structure determination by X-ray free-electron lasers: Possibilities and challenges

Ahmad Hosseinizadeh; Ali Dashti; Peter Schwander; Russell Fung; A. Ourmazd

Single-particle structure recovery without crystals or radiation damage is a revolutionary possibility offered by X-ray free-electron lasers, but it involves formidable experimental and data-analytical challenges. Many of these difficulties were encountered during the development of cryogenic electron microscopy of biological systems. Electron microscopy of biological entities has now reached a spatial resolution of about 0.3 nm, with a rapidly emerging capability to map discrete and continuous conformational changes and the energy landscapes of biomolecular machines. Nonetheless, single-particle imaging by X-ray free-electron lasers remains important for a range of applications, including the study of large “electron-opaque” objects and time-resolved examination of key biological processes at physiological temperatures. After summarizing the state of the art in the study of structure and conformations by cryogenic electron microscopy, we identify the primary opportunities and challenges facing X-ray-based single-particle approaches, and possible means for circumventing them.


Scientific Data | 2017

Coherent soft X-ray diffraction imaging of coliphage PR772 at the Linac coherent light source

Hemanth K. N. Reddy; Chun Hong Yoon; Andrew Aquila; Salah Awel; Kartik Ayyer; Anton Barty; Peter Berntsen; Johan Bielecki; Sergey Bobkov; Maximilian Bucher; Gabriella Carini; Sebastian Carron; Henry N. Chapman; Benedikt J. Daurer; Hasan Demirci; Tomas Ekeberg; Petra Fromme; Janos Hajdu; Max Felix Hanke; Philip Hart; Brenda G. Hogue; Ahmad Hosseinizadeh; Yoonhee Kim; Richard A. Kirian; Ruslan Kurta; Daniel S. D. Larsson; N. Duane Loh; Filipe R. N. C. Maia; Adrian P. Mancuso; Kerstin Mühlig

Single-particle diffraction from X-ray Free Electron Lasers offers the potential for molecular structure determination without the need for crystallization. In an effort to further develop the technique, we present a dataset of coherent soft X-ray diffraction images of Coliphage PR772 virus, collected at the Atomic Molecular Optics (AMO) beamline with pnCCD detectors in the LAMP instrument at the Linac Coherent Light Source. The diameter of PR772 ranges from 65–70 nm, which is considerably smaller than the previously reported ~600 nm diameter Mimivirus. This reflects continued progress in XFEL-based single-particle imaging towards the single molecular imaging regime. The data set contains significantly more single particle hits than collected in previous experiments, enabling the development of improved statistical analysis, reconstruction algorithms, and quantitative metrics to determine resolution and self-consistency.


Scientific Data | 2018

Free-electron laser data for multiple-particle fluctuation scattering analysis

Kanupriya Pande; Jeffrey J. Donatelli; Erik Malmerberg; Lutz Foucar; Billy K. Poon; Markus Sutter; Sabine Botha; Shibom Basu; R. Bruce Doak; Katerina Dörner; Sascha W. Epp; Lars Englert; Raimund Fromme; Elisabeth Hartmann; Robert Hartmann; Guenter Hauser; Johan Hattne; Ahmad Hosseinizadeh; Stephan Kassemeyer; Lukas Lomb; Sebastian F. Carron Montero; Andreas Menzel; Daniel Rolles; Artem Rudenko; M. Marvin Seibert; Raymond G. Sierra; Peter Schwander; A. Ourmazd; Petra Fromme; Nicholas K. Sauter

Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which solution scattering data are collected using X-ray exposures below rotational diffusion times, resulting in angularly anisotropic X-ray snapshots that provide several orders of magnitude more information than traditional solution scattering data. Such experiments can be performed using the ultrashort X-ray pulses provided by a free-electron laser source, allowing one to collect a large number of diffraction patterns in a relatively short time. Here, we describe a test data set for FXS, obtained at the Linac Coherent Light Source, consisting of close to 100 000 multi-particle diffraction patterns originating from approximately 50 to 200 Paramecium Bursaria Chlorella virus particles per snapshot. In addition to the raw data, a selection of high-quality pre-processed diffraction patterns and a reference SAXS profile are provided.


arXiv: Biological Physics | 2013

High-Resolution Structure of Viruses from Random Snapshots

Ahmad Hosseinizadeh; Peter Schwander; Ali Dashti; Russell Fung; R. M. D'Souza; A. Ourmazd


Bulletin of the American Physical Society | 2018

Energy landscapes from single-particle imaging of biological processes in and out of equilibrium

Jeremy Copperman; Ali Dashti; Ghoncheh Mashayekhi; Ahmad Hosseinizadeh; A. Ourmazd; Peter Schwander


Bulletin of the American Physical Society | 2018

Conformational landscape of a virus from single-particle scattering using a X-ray Free Electron Laser

Jeremy Copperman; Ahmad Hosseinizadeh; Ghoncheh Mashayekhi; Peter Schwander; Ali Dashti; Andrew Aquila; A. Ourmazd

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A. Ourmazd

University of Wisconsin–Milwaukee

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Peter Schwander

University of Wisconsin–Milwaukee

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Ali Dashti

University of Wisconsin–Milwaukee

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Russell Fung

University of Wisconsin–Milwaukee

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Andrew Aquila

SLAC National Accelerator Laboratory

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Ghoncheh Mashayekhi

University of Wisconsin–Milwaukee

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Petra Fromme

Arizona State University

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Anton Barty

Lawrence Livermore National Laboratory

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