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N-terminal signals
N-terminal signals

... •Select FER1_SPIOL. Right click on FER1_SPIOL. Select structure > Associate structure with sequences > discover PDB ids. •Now again, right click on FER1_SPIOL. Select “3D structure data…” > View structure of FER1_SPIOL. This will open a window where you can view its structure (PDB 1A70). The viewer ...
REDESIGN OF CARNITINE ACETYLTRANSFERASE SPECIFICITY BY PROTEIN ENGINEERING UNIVERSIDAD DE BARCELONA
REDESIGN OF CARNITINE ACETYLTRANSFERASE SPECIFICITY BY PROTEIN ENGINEERING UNIVERSIDAD DE BARCELONA

... bioinformatics methods, are not involved in acyl-CoA selectivity in that enzyme. 3. The point mutation of Met564 to Gly in CrAT broadens the specificity of the enzyme toward medium-chain acyl-CoAs, converting rat CrAT into a pseudoCOT. 4. Mutation of the orthologous glycine (Gly553) to methionine in ...
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... Hydrogen atoms attached to oxygen atoms are responsible for the acidic properties. All contain oxygen. Magnesium oxide, MgO, has metal and nonmetal ions which makes it an ionic compound. It is a solid at room temperature. Oxygen and carbon dioxide (O2 and CO2) are both molecular substances and gases ...
Chapter 7 lecture notes: Solutions
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Part II - KFUPM Faculty List
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Implicit solvation

Implicit solvation (sometimes known as continuum solvation) is a method of representing solvent as a continuous medium instead of individual “explicit” solvent molecules most often used in molecular dynamics simulations and in other applications of molecular mechanics. The method is often applied to estimate free energy of solute-solvent interactions in structural and chemical processes, such as folding or conformational transitions of proteins, DNA, RNA, and polysaccharides, association of biological macromolecules with ligands, or transport of drugs across biological membranes. The implicit solvation model is justified in liquids, where the potential of mean force can be applied to approximate the averaged behavior of many highly dynamic solvent molecules. However, the interiors of biological membranes or proteins can also be considered as media with specific solvation or dielectric properties. These media are continuous but not necessarily uniform, since their properties can be described by different analytical functions, such as “polarity profiles” of lipid bilayers. There are two basic types of implicit solvent methods: models based on accessible surface areas (ASA) that were historically the first, and more recent continuum electrostatics models, although various modifications and combinations of the different methods are possible. The accessible surface area (ASA) method is based on experimental linear relations between Gibbs free energy of transfer and the surface area of a solute molecule. This method operates directly with free energy of solvation, unlike molecular mechanics or electrostatic methods that include only the enthalpic component of free energy. The continuum representation of solvent also significantly improves the computational speed and reduces errors in statistical averaging that arise from incomplete sampling of solvent conformations, so that the energy landscapes obtained with implicit and explicit solvent are different. Although the implicit solvent model is useful for simulations of biomolecules, this is an approximate method with certain limitations and problems related to parameterization and treatment of ionization effects.
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