Modification of amino acid composition of endosperm proteins from in-vitro-selected high lysine mutants in rice

1990 ◽  
Vol 80 (6) ◽  
pp. 841-846 ◽  
Author(s):  
G. W. Schaeffer ◽  
F. T. Sharpe
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Endosperm Proteins ◽  
High Lysine

Amino acid composition and in vitro antioxidant and cytoprotective activity of abalone viscera hydrolysate

2015 ◽  
Vol 16 ◽  
pp. 94-103 ◽  
Author(s):  
Jae-Young Je ◽  
Soo Yeon Park ◽  
Joung-Youl Hwang ◽  
Chang-Bum Ahn
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Cytoprotective Activity

NATURE OF PROTEINS IN TRITICALE AND ITS PARENTAL SPECIES: I. SOLUBILITY CHARACTERISTICS AND AMINO ACID COMPOSITION OF ENDOSPERM PROTEINS

1970 ◽  
Vol 50 (1) ◽  
pp. 9-14 ◽  
Author(s):  
C. H. CHEN ◽  
W. BUSHUK
Keyword(s):  
Amino Acid ◽  
Durum Wheat ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Spring Wheat ◽  
Water Soluble ◽  
The Other ◽  
Hard Red Spring Wheat ◽  
Endosperm Proteins ◽  
Spring Wheat Cultivar

Solubility characteristics and amino acid composition of the endosperm proteins of one line of Triticale, its durum wheat and rye parent cultivars, and one cultivar of hard red spring wheat were compared. Quantitative distribution of the soluble protein fractions and amino acid compositions showed that the proteins of Triticale are intermediate in these properties between analogous properties of the proteins of its durum wheat and rye parents. The major differences between the hard red spring wheat and the other three species were its lower content of water-soluble proteins and higher content of insoluble or gluten proteins. This appears lo be the main reason for the superior breadmaking quality of the hard red spring wheat cultivar compared with the other species used in this study.

Characterization, amino acid composition and in vitro digestibility of hemp (Cannabis sativa L.) proteins

2008 ◽  
Vol 107 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Xian-Sheng Wang ◽  
Chuan-He Tang ◽  
Xiao-Quan Yang ◽  
Wen-Rui Gao
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Cannabis Sativa ◽  
In Vitro Digestibility ◽  
L Proteins

Amino acid composition and In Vitro digestibility of some Egyptian foods made from faba bean (Vicia faba L)

1986 ◽  
Vol 22 (3) ◽  
pp. 225-233 ◽  
Author(s):  
M.M. Youssef ◽  
M.A. Hamza ◽  
M.H. Abd El-Aal ◽  
Laila A. Shekib ◽  
A.A. El-Banna
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Vicia Faba ◽  
Acid Composition ◽  
Faba Bean ◽  
In Vitro Digestibility ◽  
Vicia Faba L

scholarly journals QUALITY ASSESSMENT OF PROTEINS IN COOKED SAUSAGES WITH FOOD COMPOSITIONS

2018 ◽  
Vol 12 (2) ◽  
Author(s):  
O. Fursik ◽  
I. Strashynskiy ◽  
V. Pasichny ◽  
О. Kochubei-Lytvynenko
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
Reference Sample ◽  
Essential Amino Acids ◽  
The Body ◽  
Poultry Meat ◽  
Experimental Sample

. In the article, the data are given of research carried out in vitro to determine the amino acid composition and the degree of digestibility of the reference and experimental samples of cooked sausage, with the use of the protein-containing composition developed. The protein digestibility-corrected amino acid score (PDCAAS) has been calculated to clarify the assimilation of amino acids that enter the body as part of proteins in experimental cooked sausage samples.It has been established that replacing a part of the meat raw material with the protein-containing composition in the formula of cooked sausages does not affect significantly the amino acid composition of the finished product. The addition of mechanically deboned poultry meat reduces the amount of such essential amino acids as isoleucine by 68 %, compared with the control formula, leucine by 38 %, and valine by 48 %. At the same time, the content of lysine significantly increases by 1.5 times.  The in vitro index of digestibility for an experimental sample of cooked sausages with protein-containing composition at the pepsinolysis stage is slightly reduced compared with the reference sample (by an average of 7 %). At the second stage of hydrolysis (trypsin enzyme), this parameter does not differ from the reference one. During the two stages of hydrolysis, this parameter, with mechanically deboned poultry meat introduced, decreased by an average of 20 %, compared with the reference sample.Calculated PDCAAS has allowed establishing that the true efficiency of proteins in cooked sausages is different from the in vitro index of digestibility, which is due to the presence of limiting values of the essential amino acids content in the product.

Predicting Interactions Between Pathogen and Human Proteins Based on the Relation Between Sequence Length and Amino Acid Composition

2021 ◽  
Vol 16 ◽  
Author(s):  
Saud Alguwaizani ◽  
Shulei Ren ◽  
De-Shuang Huang ◽  
Kyungsook Han
Keyword(s):  
Amino Acid ◽  
Amino Acid Composition ◽  
Yersinia Pestis ◽  
Acid Composition ◽  
Sequence Length ◽  
Support Vector ◽  
Human Ppis ◽  
Svm Model

Aim: Both bacterial infection and viral infection involve a large number of protein-protein interactions (PPIs) between a pathogen and its target host. Background: So far, many computational methods have focused on predicting PPIs within the same species rather than PPIs across different species. Methods: From the extensive analysis of PPIs between Yersinia pestis bacteria and humans, we recently discovered an interesting relation; a linear relation between amino acid composition and sequence length was observed in many proteins involved in PPIs. We have built a support vector machine (SVM) model, which predicts PPIs between human and bacteria using two feature types derived from the relation. The two feature types used in the SVM are the amino acid composition group (AACG) and the difference in amino acid composition between host and pathogen proteins. Result: The SVM model achieved high performance in predicting bacteria-human PPIs. The model showed an accuracy of 96%, sensitivity of 94%, and specificity of 98% in predicting PPIs between humans and Yersinia pestis, in which there is a strong relation between amino acid composition and sequence length. The SVM model was also tested in predicting PPIs between human and viruses, which include Ebola, HCV, and SARSCoV-2, and showed a good performance. Conclusion: The feature types identified in our study are simple yet powerful in predicting pathogen-human PPIs. Although preliminary, our method will be useful for finding unknown target host proteins or pathogen proteins and designing in vitro or in vivo experiments.

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