Plant Proteins in the Amelioration of Protein Deficiency States

2015 ◽  
pp. 106-141 ◽  
Author(s):  
M. Narayana Rao ◽  
M. Swaminathan
Keyword(s):  
Protein Deficiency ◽  
Plant Proteins

Alterations in Serum Diastase and Albumin Values in Protein Deficiency

1955 ◽  
Vol 28 (4) ◽  
pp. 550-562 ◽  
Author(s):  
James F. Sullivan ◽  
Robert J. Healey ◽  
William A. Knight
Keyword(s):  
Protein Deficiency

Absorption of Co58 Labeled Cyanocobalamin in Protein Deficiency

1964 ◽  
Vol 46 (2) ◽  
pp. 167-174 ◽  
Author(s):  
M.G. Deo ◽  
V. Ramalingaswami
Keyword(s):  
Protein Deficiency

Plant proteins mapped

Nature ◽  
2008 ◽  
Author(s):  
Heidi Ledford
Keyword(s):  
Plant Proteins

PEAS AND PRODUCTS OF ITS PROCESSING OF - NONCONVENTIONAL RAW MATERIAL RESOURCES

2020 ◽  
Author(s):  
D.Y. Bolgova ◽  
◽  
N.A. Tarasenko ◽  
Z.S. Mukhametova ◽  
◽  
...  
Keyword(s):  
Chemical Composition ◽  
Human Health ◽  
Food Production ◽  
Food Industry ◽  
Raw Material ◽  
Plant Proteins ◽  
Material Resources ◽  
The Rich

Nutrition is an important factor that affects human health. The use of plant proteins as various additives in food production has now been actively developed. The rich chemical composition of pea grains determines the possibility of application in the food industry. Peas are characterized by good assimilability and degree of digestion.

Penggunaan Standar Bumbu Masakan Lauk Hewani dan Nabati di RSUD Panembahan Senopati Bantul Yogyakarta

2017 ◽  
Vol 19 (2) ◽  
pp. 131-139
Author(s):  
Kukuh Probo Sukmawati ◽  
Setyowati Setyowati ◽  
Th Ninuk Sri Hartini
Keyword(s):  
Animal Protein ◽  
Plant Protein ◽  
Observational Research ◽  
Plant Proteins ◽  
Tabular Form ◽  
Cross Sectional ◽  
Herbs And Spices

  Background: Using of herbs and spices greatly affect the taste of foods, although the ingredients used are the same, different formulations of herbs will produce different flavors. Standardized seasonings are needed to produce a relatively similar food taste. Objective: The research aims to determine the use of herbs in animal and plant proteins. Method: This research was an observational research with cross sectional approach at PanembahanSenopati Hospital Bantul. The objects of this research were standardized seasonings inanimal and plant proteinsin the menu cycle of 10 days in Juny 2015. The data were analyzed descriptively and presented in tabular form and textural. Result: Standardized Seasonings in animal protein were B for satay and C for semur. Standardized seasonings in plant protein were B for bali, terik, rujak and D for bacem. The percentage of the use of seasoning than standardized seasoning for satay (148,7%), bali (130,3%), rujak(372%),for semur, terik and bacem the conformity are not not known because the standardized seasonings unwritten. The conformity of ingredient herbskind for satay (66,7%), semur (100%), bali (54,5%), rujak (50%), bacem (100%) and terik (100%). Conclusion:The conformity of herbs weight foranimal protein (124,3%) and plant protein (175,5%). The conformity of ingredient herbskind for animal protein (83,3%) and plant protein (76,1%). Standardized seasonings used were B, C and D.   Keywords: standardized seasonings, animal protein, plant protein

Prevention of disorders of protein deficiency in growing bulls of dairy breeds

2020 ◽  
Vol 23 (9) ◽  
pp. 50-55
Author(s):  
E.L. Kharitonov ◽  
◽  
K.S. Ostrenko ◽  
V.O. Lemiasheuski ◽  
◽  
...  
Keyword(s):  
Protein Deficiency

pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset

2019 ◽  
Vol 24 (34) ◽  
pp. 4013-4022 ◽  
Author(s):  
Xiang Cheng ◽  
Xuan Xiao ◽  
Kuo-Chen Chou
Keyword(s):  
Subcellular Localization ◽  
Basic Research ◽  
Training Dataset ◽  
Sequence Information ◽  
Plant Proteins ◽  
Protein Subcellular Localization ◽  
Computational Tools ◽  
Validation Tests ◽  
User Friendly ◽  
Better Than

Knowledge of protein subcellular localization is vitally important for both basic research and drug development. With the avalanche of protein sequences emerging in the post-genomic age, it is highly desired to develop computational tools for timely and effectively identifying their subcellular localization based on the sequence information alone. Recently, a predictor called “pLoc-mPlant” was developed for identifying the subcellular localization of plant proteins. Its performance is overwhelmingly better than that of the other predictors for the same purpose, particularly in dealing with multi-label systems in which some proteins, called “multiplex proteins”, may simultaneously occur in two or more subcellular locations. Although it is indeed a very powerful predictor, more efforts are definitely needed to further improve it. This is because pLoc-mPlant was trained by an extremely skewed dataset in which some subsets (i.e., the protein numbers for some subcellular locations) were more than 10 times larger than the others. Accordingly, it cannot avoid the biased consequence caused by such an uneven training dataset. To overcome such biased consequence, we have developed a new and bias-free predictor called pLoc_bal-mPlant by balancing the training dataset. Cross-validation tests on exactly the same experimentconfirmed dataset have indicated that the proposed new predictor is remarkably superior to pLoc-mPlant, the existing state-of-the-art predictor in identifying the subcellular localization of plant proteins. To maximize the convenience for the majority of experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_bal-mPlant/, by which users can easily get their desired results without the need to go through the detailed mathematics.

Sign in / Sign up

Export Citation Format

Share Document