Amino acids, classification

Amino-acid classification based on side-chain polarity (Lehninger, 1982) Hydrophobic side chains ... 

Uses Antistat for polyolefins surface coating for EPS fabric softener coemulsifier Palmitic sucrose ester. See Sucrose palmitate Palmitoyl animal collagen amino acids. See Palmitoyl collagen amino acids 6-0>Palmitoylascorbic acid PalmKoyl L-ascorbic acid. See Ascorbyl palmitate Palmitoyl collagen amino acids Synonyms Palmitoyl animal collagen amino acids Classification Protein... 

Neural networks have been applied to IR spectrum interpreting systems in many variations and applications. Anand [108] introduced a neural network approach to analyze the presence of amino acids in protein molecules with a reliability of nearly 90%. Robb and Munk [109] used a linear neural network model for interpreting IR spectra for routine analysis purposes, with a similar performance. Ehrentreich et al. [110] used a counterpropagation network based on a strategy of Novic and Zupan [111] to model the correlation of structures and IR spectra. Penchev and co-workers [112] compared three types of spectral features derived from IR peak tables for their ability to be used in automatic classification of IR spectra. 

The structures and abbreviations for the 20 amino acids commonly found in proteins are shown in Figure 4.3. All the amino acids except proline have both free a-amino and free a-carboxyl groups (Figure 4.1). There are several ways to classify the common amino acids. The most useful of these classifications is based on the polarity of the side chains. Thus, the structures shown in Figure 4.3 are grouped into the following categories (I) nonpolar or hydrophobic... 

Amino Acid Helix Classification Pp Sheet Classification... 

Their value as building blocks to make proteins stems from the fact that amino acids can join together into long chains by Forming amide bonds between the -NH2 of one amino acid and the -C02H of another. For classification purposes, chains with fewer than 50 amino acids are often called peptides, while the term protein is used for larger chains. 

SNARE motifs spontaneously assemble into SNARE complexes. These consist of a bundle of four intertwined a-helices that are connected by a total of 16 layers of mostly hydrophobic amino acid side chains. In the middle of the bundle, there is a highly conserved and polar 0-layer consisting of three glutamine and one arginine residue. These residues are among the most conserved in the SNARE superfamily and led to a classification of SNAREs into Q- and R-SNAREs, respectively. Different fusion steps require different sets of SNAREs but some SNAREs can participate in different complexes, and some fusion steps involve several SNARE complexes that appear to operate in parallel and independently. 

The classification of P450s, which is based on amino acid sequencing, bears some relationship to metabolic function. That said, some xenobiotic molecules, especially... 

Use of multivariate approaches based on classification modelling based on cluster analysis, factor analysis and the SIMCA technique [98,99], and the Kohonen artificial neural network [100]. All these methods, though rarely implemented, lead to very good results not achievable with classical strategies (comparisons, amino acid ratios, flow charts) and, moreover it is possible to know the confidence level of the classification carried out. 

B. Henrissat, A classification of glycosyl hydrolases based on amino acid sequence similarities, Biochem. J., 280(Pt 2), (1991) 309-316. 

Further research has led to a classification of zinc-finger proteins to include various criteria (1) one or multiple repeat units of about 30 amino acids per finger ... 

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