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The osmotic second virial coefficient B2 is an important parameter to describe the interactions and phase behavior of protein solutions, including colloidal systems and macromolecular solutions. Another key parameter to describe the driving…

Soft Condensed Matter · Physics 2024-09-30 Furio Surfaro , Ralph Maier , Kai-Florian Pastryk , Fajun Zhang , Frank Schreiber , Roland Roth

Static light scattering is a popular physical chemistry technique that enables calculation of physical attributes such as the radius of gyration and the second virial coefficient for a macromolecule (e.g., a polymer or a protein) in…

Applications · Statistics 2021-11-17 Fan Yin , Domarin Khago , Rachel W. Martin , Carter T. Butts

The osmotic virial coefficient $B_2$ of globular protein solutions is calculated as a function of added salt concentration at fixed pH by computer simulations of the ``primitive model''. The salt and counter-ions as well as a discrete…

Soft Condensed Matter · Physics 2009-11-07 E. Allahyarov , H. Löwen , J. P. Hansen , A. A. Louis

Optical interferometry is amongst the most sensitive techniques for precision measurement. By increasing the light intensity a more precise measurement can usually be made. However, in some applications the sample is light sensitive. By…

Introduced more than fifty years ago, dynamic light scattering is routinely used to determine the size distribution of colloidal suspensions, as well as of macromolecules in solution, such as proteins, nucleic acids, and their complexes.…

Measurement of serum growth hormone by mass spectrometry is demonstrated to be unaffected by interferences with growth hormone binding protein as frequently encountered with antibody-based routine test methods and provides an alternative…

Quantitative Methods · Quantitative Biology 2014-05-16 Cristian G. Arsene , Jürgen Kratzsch , André Henrion

In this work, an improved methodology for studying interactions of proteins in solution by small-angle scattering, is presented. Unlike the most common approach, where the protein-protein correlation functions $g_{ij}(r)$ are approximated…

Statistical Mechanics · Physics 2009-11-07 Francesco Spinozzi , Domenico Gazzillo , Achille Giacometti , Paolo Mariani , Flavio Carsughi

A theory is set up of spherical proteins interacting by screened electrostatics and constant adhesion, in which the effective adhesion parameter is optimized by a variational principle for the free energy. An analytical approach to the…

Soft Condensed Matter · Physics 2009-11-10 Peter Prinsen , Theo Odijk

In this work we examine how volume exclusion caused by regions of high chromatin density might influence the time required for proteins to find specific DNA binding sites. The spatial variation of chromatin density within mouse olfactory…

Subcellular Processes · Quantitative Biology 2013-08-21 Samuel A. Isaacson , Carolyn A. Larabell , Mark A. Le Gros , David M. McQueen , Charles S. Peskin

An analysis of the protein content of several crystal forms of proteins has been performed. We apply a new numerical technique, the Independent Component Analysis (ICA), to determine the volume fraction of the asymmetric unit occupied by…

Quantitative Methods · Quantitative Biology 2008-12-02 Antonio Lamura , Massimo Ladisa , Giovanni Nico , Dritan Siliqi

Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. Though recent years have seen a tremendous improvement in instrument performance and the computational tools used,…

Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. However, the specific acquisition conditions required by…

Diffusion coefficient measurements are important for many biological and material investigations, such as particle dynamics, kinetics, and size determinations. Amongst current measurement methods, single particle tracking (SPT) offers the…

Biomolecules · Quantitative Biology 2011-07-12 Shannon Kian Zareh , Michael C. DeSantis , Jonathan Kessler , Je-Luen Li , Y. M. Wang

Instead of conformation states of single residues, refined conformation states of quintuplets are proposed to reflect conformation correlation. Simple hidden Markov models combining with sliding window scores are used for predicting…

Biomolecules · Quantitative Biology 2007-05-23 Wei-Mou Zheng

Mass spectrometry (MS) is used widely in biomolecular structural analysis and is particularly dominant in the study of proteins. Despite its considerable power, state-of-the-art protein MS frequently suffers from limited reliability of…

An overview of theories related to vibrational energy relaxation (VER) in proteins is presented. VER of a selected mode in cytochrome c is studied using two theoretical approaches. One is the equilibrium simulation approach with quantum…

Biomolecules · Quantitative Biology 2007-05-23 Hiroshi Fujisaki , John E. Straub

A new approach to measure the second order correlation function $g^{(2)}$ and the coherence time was investigated. The $g^{(2)}$ was calculated from the photon pair time interval distribution by direct numerical self-convolution with the…

Optics · Physics 2016-04-20 Chen-How Huang , Yung-Hsiang Wen , Yi-Wei Liu

Sequence coverage in MS analysis of protein digestion-derived peptides is a key issue for detailed characterization of proteins or identification at low quantities. In gel-based proteomics studies, the sequence coverage greatly depends on…

Optical molecular sensing techniques are often limited by the refractive index change associated with the probed interactions. In this work, we present a closed form analytical model to estimate the magnitude of optical refractive index…

Applied Physics · Physics 2017-12-04 Harish Sasikumar , Manoj M. Varma

We provide two novel adaptive-rate compressive sensing (CS) strategies for sparse, time-varying signals using side information. Our first method utilizes extra cross-validation measurements, and the second one exploits extra low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Garrett Warnell , Sourabh Bhattacharya , Rama Chellappa , Tamer Basar
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