Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Proteins principle

Krimm, S. (2000). In Infrared Analysis of Peptides and Proteins Principles and Applications (B. R. Singh, ed.), pp. 38-53. American Chemical Society, Washington, D.C. [Pg.180]

Amersham Pharmacia Biotech (ed), Purification for Proteins Principles and Methods, APB, Uppsala, 1999. [Pg.67]

The examples of modelling discussed in section C2.5.2 and section C2.5.3 are meant to illustrate tlie ideas behind tlie tlieoretical and computational approaches to protein folding. It should be borne in mind tliat we have discussed only a very limited aspect of tlie rich field of protein folding. The computations described in section C2.5.3 can be carried out easily on a desktop computer. Such an exercise is, perhaps, tlie best of way of appreciating tlie simple approach to get at tlie principles tliat govern tlie folding of proteins. [Pg.2659]

Dill K A, Bromberg S, Yue K, Fiebig K M, Yee D P, Thomas P D and Chan H S 1995 Principles of protein folding—a perspective from simple exact models Protein Sci. 561-602... [Pg.2665]

Fig. 9. Two-dimensional sketch of the 3N-dimensional configuration space of a protein. Shown are two Cartesian coordinates, xi and X2, as well as two conformational coordinates (ci and C2), which have been derived by principle component analysis of an ensemble ( cloud of dots) generated by a conventional MD simulation, which approximates the configurational space density p in this region of configurational space. The width of the two Gaussians describe the size of the fluctuations along the configurational coordinates and are given by the eigenvalues Ai. Fig. 9. Two-dimensional sketch of the 3N-dimensional configuration space of a protein. Shown are two Cartesian coordinates, xi and X2, as well as two conformational coordinates (ci and C2), which have been derived by principle component analysis of an ensemble ( cloud of dots) generated by a conventional MD simulation, which approximates the configurational space density p in this region of configurational space. The width of the two Gaussians describe the size of the fluctuations along the configurational coordinates and are given by the eigenvalues Ai.
The problems that occur when one tries to estimate affinity in terms of component terms do not arise when perturbation methods are used with simulations in order to compute potentials of mean force or free energies for molecular transformations simulations use a simple physical force field and thereby implicitly include all component terms discussed earlier. We have used the molecular transformation approach to compute binding affinities from these first principles [14]. The basic approach had been introduced in early work, in which we studied the affinity of xenon for myoglobin [11]. The procedure was to gradually decrease the interactions between xenon atom and protein, and compute the free energy change by standard perturbation methods, cf. (10). An (issential component is to impose a restraint on the... [Pg.137]

E. M. Boczko and C. L. Brooks III. First principles calculation of the folding free energy of a three helix bundle protein. Science, 269 393-396, 1995. [Pg.174]

M.J. Sippl, Boltzmann s principle, knowledge based mean fields and protein folding, J. Comp. Aided Mol. Design 7 (1993), 473-501. [Pg.223]

N is the number of point charges within the molecule and Sq is the dielectric permittivity of the vacuum. This form is used especially in force fields like AMBER and CHARMM for proteins. As already mentioned, Coulombic 1,4-non-bonded interactions interfere with 1,4-torsional potentials and are therefore scaled (e.g., by 1 1.2 in AMBER). Please be aware that Coulombic interactions, unlike the bonded contributions to the PEF presented above, are not limited to a single molecule. If the system under consideration contains more than one molecule (like a peptide in a box of water), non-bonded interactions have to be calculated between the molecules, too. This principle also holds for the non-bonded van der Waals interactions, which are discussed in Section 7.2.3.6. [Pg.345]

First-principles Methods for Predicting Protein Structure... [Pg.533]

The most ambitious approaches to the protein folding problem attempt to solve it from firs principles (ab initio). As such, the problem is to explore the coirformational space of th molecule in order to identify the most appropriate structure. The total number of possibl conformations is invariably very large and so it is usual to try to find only the very lowes energy structure(s). Some form of empirical force field is usually used, often augmente with a solvation term (see Section 11.12). The global minimum in the energy function i assumed to correspond to the naturally occurring structure of the molecule. [Pg.533]

Ithough knowledge-based potentials are most popular, it is also possible to use other types potential function. Some of these are more firmly rooted in the fundamental physics of iteratomic interactions whereas others do not necessarily have any physical interpretation all but are able to discriminate the correct fold from decoy structures. These decoy ructures are generated so as to satisfy the basic principles of protein structure such as a ose-packed, hydrophobic core [Park and Levitt 1996]. The fold library is also clearly nportant in threading. For practical purposes the library should obviously not be too irge, but it should be as representative of the different protein folds as possible. To erive a fold database one would typically first use a relatively fast sequence comparison lethod in conjunction with cluster analysis to identify families of homologues, which are ssumed to have the same fold. A sequence identity threshold of about 30% is commonly... [Pg.562]

Pemtz M 1992. Protein Structure. New Approaches to Disease And Therapy. New York, W H Freeman. Schulz G E and R H Schirmer 1979. Principles of Protein Structure. New York, Springer-Verlag. [Pg.574]

The principle of this test is as follows The liquid suspected of containing urea is treated with dilute acid or alkali until its pH is about 7. A solution of the enzyme is also made and its pH adjusted to 7. The two solutions are mixed and the resulting conversion of urea to ammonium carbonate causes the pH of the solution to rise to over 8 this change is noted by the use of a suitable indicator, phenol-red being the one usually employed. Proteins do not interfere with the test, but the reaction is inhibited by traces of heavy metals. [Pg.519]


See other pages where Proteins principle is mentioned: [Pg.178]    [Pg.179]    [Pg.179]    [Pg.180]    [Pg.47]    [Pg.1316]    [Pg.30]    [Pg.178]    [Pg.179]    [Pg.179]    [Pg.180]    [Pg.47]    [Pg.1316]    [Pg.30]    [Pg.1645]    [Pg.2645]    [Pg.2645]    [Pg.2646]    [Pg.2817]    [Pg.2821]    [Pg.2841]    [Pg.27]    [Pg.129]    [Pg.133]    [Pg.133]    [Pg.177]    [Pg.179]    [Pg.363]    [Pg.370]    [Pg.371]    [Pg.394]    [Pg.522]    [Pg.529]    [Pg.529]    [Pg.533]    [Pg.536]    [Pg.561]    [Pg.566]    [Pg.587]   
See also in sourсe #XX -- [ Pg.174 ]




SEARCH



Basic Principles and Methods of Protein Crystallography

Basic Principles of Protein Structure

Coding principle, proteins

First principles method for predicting protein

First-principles Methods for Predicting Protein Structure

Functional coding principle, proteins

On-bead screening, protein ligands principles

Physical Entrapment of Proteins into Hydrogels General Principles and Release Mechanisms

Plasma protein binding, free drug principle

Principles of Protein Structure

Protein Adsorption Principles

Protein and peptide analysis principles

Protein kinases principles

Proteins basic principles

Proteins first principles methods

Proteins structure, basic principles

Selection and Evolution of Novel DNA-Binding Proteins From Principles to Applications

Some Basic Principles of Protein Structure

© 2024 chempedia.info