Subcellular immuno-localization, amino acid composition and partial amino acid sequences of alpha-1,4-glucan phosphorylase of Gracilarria spp (Rhodophyta)

1993 ◽  
Vol 89 (1) ◽  
pp. 11-20
Author(s):  
S. Yu ◽  
J.-L. Gomez-Pinchetti ◽  
B. Ek ◽  
G. Garcia-Reina ◽  
M. Pedersen
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Amino Acid Sequences ◽  
Glucan Phosphorylase

Chemical Data on Pituitary Gonadotropins and Their Implication to Evolution

1982 ◽  
Vol 39 (1) ◽  
pp. 80-91 ◽  
Author(s):  
E. Burzawa-Gerard
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Quaternary Structure ◽  
Chelonia Mydas ◽  
Amino Acid Sequences ◽  
Chemical Data ◽  
Pituitary Hormone ◽  
Hybrid Molecules ◽  
Α And Β Subunits

Chemical data on gonadotropins from several vertebrate species are summarized and discussed from an evolutionary point of view. A high degree of homology has been observed between mammalian gonadotropins (LH and FSH) and thyrotropin (TSH). In non-mammalian species the existence of LH and FSH-like hormones has been demonstrated except for squamate and fish species. Especially in fish the number of GTHs is still controversial. One pituitary glycoprotein assumes various gonadotropic functions of the pituitary, and a second pituitary hormone (carbohydrate-poor) acts on fish ovarian growth. GTHs from bird, reptile, amphibian, and fish pituitaries have been purified and chemically characterized (amino acid composition, carbohydrate content). The existence of a quaternary structure has been demonstrated for several tetrapod LHs and fish GTHs. The amino acid composition of α and β subunits purified from turkey (Meleagris gallopavo), and turtle (Chelydra serpentira, Chelonia mydas) LHs and from common carp (Cyprinus carpio) and sturgeon (Acipenser stellatus) GTHs showed homology with the mammalian α and β subunits. The partial sequences of carp GTH subunits have shown that the carp GTH β was more closely related to mammalian LH β than to FSH β. Hybrid molecules could be obtained by association of heterologous subunits. The kinetics of subunit association has been studied in vitro. As compared to ovine LH, subunit association of carp GTH was more rapid and thermodependent. The subunit β seemed to determine the thermodependence. The various GTH subunits in living vertebrate probably derive from a common ancestral molecule.Key words: vertebrate gonadotropins, chemical characterizations, GTHs subunits, amino acid sequences, hybrid molecules, evolution.

scholarly journals The primary structure of aspartate aminotransferase from pig heart muscle. Partial sequences determined by digestion with thermolysin and elastase

1973 ◽  
Vol 133 (4) ◽  
pp. 805-819 ◽  
Author(s):  
Francesco Bossa ◽  
Donatella Barra ◽  
Massimo Carloni ◽  
Paolo Fasella ◽  
Francesca Riva ◽  
...  
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Primary Structure ◽  
Aspartate Aminotransferase ◽  
Heart Muscle ◽  
Science And Technology ◽  
Amino Acid Sequences ◽  
Amino Acid Residues ◽  
Lending Library

Peptides produced by thermolytic digestion of aminoethylated aspartate aminotransferase and of the oxidized enzyme were isolated and their amino acid sequences determined. Digestion by elastase of the carboxymethylated enzyme gave peptides representing approximately 40% of the primary structure. Fragments from these digests overlapped with previously reported sequences of peptides obtained by peptic and tryptic digestion (Doonan et al., 1972), giving ten composite peptides containing 395 amino acid residues. The amino acid composition of these composite peptides agrees well with that of the intact enzyme. Confirmatory results for some of the present data have been deposited as Supplementary Publication 50018 at the National Lending Library for Science and Technology, Boston Spa, Yorks. LS23 7BQ, U.K., from whom copies can be obtained on the terms indicated in Biochem. J. (1973) 131, 5.

scholarly journals The cDNA and protein sequences of human lactate dehydrogenase B

1987 ◽  
Vol 248 (3) ◽  
pp. 933-936 ◽  
Author(s):  
I Sakai ◽  
F S Sharief ◽  
Y C Pan ◽  
S S Li
Keyword(s):  
Amino Acid ◽  
Lactate Dehydrogenase ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Amino Acid Sequences ◽  
British Library ◽  
Amino Acid Residues ◽  
Coding Region ◽  
Cdna Insert ◽  
Protein Coding

Human lactate dehydrogenase B (LDH-B) cDNA was isolated and sequenced. The LDH-B cDNA insert consists of the protein-coding sequence (999 bp), the 5′ (54 bp) and 3′ (203 bp) non-coding regions, and the poly(A) tail (50 bp). The predicted sequence of 333 amino acid residues was confirmed by amino acid composition and/or sequence analyses of a total of 185 (56%) residues from tryptic peptides of human LDH-B protein. The nucleotide and amino acid sequences of the human LDH-B coding region show 68% and 75% homologies respectively with those of the human LDH-A. The peptide map and amino acid composition data have been deposited as Supplementary Publication SUP 50139 (7 pages) at the British Library Lending Division, Boston Spa, Wetherby, West Yorkshire LS23 7BQ, U.K., from whom copies are available on prepayment [see Biochem. J. (1987) 241, 5].

scholarly journals Glyceraldehyde-3 Phosphate Dehydrogenase From the Red Kangaroo (Megalelia Rufa): Purification and the Amino Acid Sequence Around a Reactive Cysteine

1971 ◽  
Vol 24 (2) ◽  
pp. 263 ◽  
Author(s):  
RJ Simpson ◽  
BE Davidson
Keyword(s):  
Amino Acid ◽  
Amino Acid Sequence ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Amino Acid Sequences ◽  
Red Kangaroo ◽  
Leg Muscle

Glyceraldehyde-3-phosphate dehydrogenase from leg muscle of M. rufa has been extracted and purified. The reaction of the enzyme with iodoacetate, the amino acid composition, tryptic fingerprint, and some amino acid sequences (in-cluding that around the reactive cysteine) indicate that kangaroo glyceraldehyde-3-phosphate dehydrogenase is almost identical with pig glyceraldehyde-3-phosphate dehydrogenase.

scholarly journals ReRF-Pred: predicting amyloidogenic regions of proteins based on their pseudo amino acid composition and tripeptide composition

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhixia Teng ◽  
Zitong Zhang ◽  
Zhen Tian ◽  
Yanjuan Li ◽  
Guohua Wang
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Random Forest ◽  
Physicochemical Properties ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Amino Acid Sequences ◽  
Pseudo Amino Acid Composition ◽  
Distribution Method ◽  
Almost All

Abstract Background Amyloids are insoluble fibrillar aggregates that are highly associated with complex human diseases, such as Alzheimer’s disease, Parkinson’s disease, and type II diabetes. Recently, many studies reported that some specific regions of amino acid sequences may be responsible for the amyloidosis of proteins. It has become very important for elucidating the mechanism of amyloids that identifying the amyloidogenic regions. Accordingly, several computational methods have been put forward to discover amyloidogenic regions. The majority of these methods predicted amyloidogenic regions based on the physicochemical properties of amino acids. In fact, position, order, and correlation of amino acids may also influence the amyloidosis of proteins, which should be also considered in detecting amyloidogenic regions. Results To address this problem, we proposed a novel machine-learning approach for predicting amyloidogenic regions, called ReRF-Pred. Firstly, the pseudo amino acid composition (PseAAC) was exploited to characterize physicochemical properties and correlation of amino acids. Secondly, tripeptides composition (TPC) was employed to represent the order and position of amino acids. To improve the distinguishability of TPC, all possible tripeptides were analyzed by the binomial distribution method, and only those which have significantly different distribution between positive and negative samples remained. Finally, all samples were characterized by PseAAC and TPC of their amino acid sequence, and a random forest-based amyloidogenic regions predictor was trained on these samples. It was proved by validation experiments that the feature set consisted of PseAAC and TPC is the most distinguishable one for detecting amyloidosis. Meanwhile, random forest is superior to other concerned classifiers on almost all metrics. To validate the effectiveness of our model, ReRF-Pred is compared with a series of gold-standard methods on two datasets: Pep-251 and Reg33. The results suggested our method has the best overall performance and makes significant improvements in discovering amyloidogenic regions. Conclusions The advantages of our method are mainly attributed to that PseAAC and TPC can describe the differences between amyloids and other proteins successfully. The ReRF-Pred server can be accessed at http://106.12.83.135:8080/ReRF-Pred/.

scholarly journals The random character of protein evolution and its effects on the reliability of phylogenetic information deduced from amino acid sequences and compositions

1980 ◽  
Vol 191 (2) ◽  
pp. 349-354 ◽  
Author(s):  
A Cornish-Bowden
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Random Effect ◽  
Cross Reactivity ◽  
Amino Acid Sequences ◽  
Random Errors ◽  
Phylogenetic Information ◽  
Rates Of Evolution ◽  
Related Pair

Because evolution occurs by random events, the actual number of substitutions that occur in any period is not exactly equal to the number expected from the mean rate of substitution, but is statistically distributed about it. In consequence, even if rates of evolution are constant in different lineages, ‘trees’ deduced from descendant protein sequences contain random errors. When there are fewer than about eight differences between the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based on amino acid sequence. In some cases, such as classification of mammals on the basis of cytochrome c structure, it appears to make little difference to the reliability of the results whether the sequences of the protein concerned are known or not. It may also be possible to obtain more reliable phylogenetic information from composition measurements on several kinds of protein than one could obtain from sequence measurements on a single kind of protein.

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