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Journal articles on the topic 'Acid-Selection'

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

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1

Massingham, Tim, and Nick Goldman. "Detecting Amino Acid Sites Under Positive Selection and Purifying Selection." Genetics 169, no. 3 (2005): 1753–62. http://dx.doi.org/10.1534/genetics.104.032144.

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2

Silva, Jack da. "ANTIBODY SELECTION AND AMINO ACID REVERSIONS." Evolution 66, no. 10 (2012): 3079–87. http://dx.doi.org/10.1111/j.1558-5646.2012.01686.x.

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3

Howieson, J. G., M. A. Ewing, and M. F. D'Antuono. "Selection for acid tolerance inRhizobium meliloti." Plant and Soil 105, no. 2 (1988): 179–88. http://dx.doi.org/10.1007/bf02376781.

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4

Krištofíková, L., M. Rosenberg, A. Vlnová, J. Šajbidor та M. Čertík. "Selection ofRhizopus strains forl(+)-lactic acid andγ-linolenic acid production". Folia Microbiologica 36, № 5 (1991): 451–55. http://dx.doi.org/10.1007/bf02884065.

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5

Váchová, A., Z. Panovská, and D. Lukešová. "The Selection of the Optimal Rate of Acid and Sweet Taste for Lemon Flavoured Drops." Czech Journal of Food Sciences 27, Special Issue 1 (2009): S330—S332. http://dx.doi.org/10.17221/942-cjfs.

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The objective of this work was to choose an optimal rate of citric acid and sweeteners for lemon flavoured drops. Two model samples with defined concentrations of citric acid and two commercial samples were evaluated with using instrumental and sensory methods. Concentrations of sweetening agents and citric acid in the samples were determined using HPLC with a RI detector and isotachophoresis, respectively. The general pleasantness of taste and the intensity of acid and sweet tastes of four lemon drops were evaluated using sensory analysis. General pleasantness was evaluated using a ranking te

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6

Ha, Thi Quyen, and Thi Minh Tu Hoa. "Selection of lactic acid bacteria producing bacteriocin." Journal of Vietnamese Environment 8, no. 5 (2017): 271–76. http://dx.doi.org/10.13141/jve.vol8.no5.pp271-276.

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Lactic acid bacteria were isolated from 10 samples of the traditionally fermented foods (5 samples of Vietnamese fermented pork roll and 5 samples of the salted field cabbage) and 5 samples of fresh cow milks collected from households in Vietnam. 22 strains of lactic acid bacteria were isolated for inhibition to Lactobacillus plantarum JCM 1149. Of these, only 2 strains including DC1.8 and NC1.2 have rod shape, the others have coccus shape. 7 strains showing higher antibacterial activity were selected for checking spectrum of antibacteria with indicator bacteria consistting of Bacillus subtili

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7

Mart�nez-Force, Enrique, and Tah�a Ben�tez. "Selection of amino-acid overproducer yeast mutants." Current Genetics 21, no. 3 (1992): 191–96. http://dx.doi.org/10.1007/bf00336840.

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8

Parmegiani, Lodovico, Graciela Estela Cognigni, Walter Ciampaglia, Patrizia Pocognoli, Francesca Marchi, and Marco Filicori. "Efficiency of hyaluronic acid (HA) sperm selection." Journal of Assisted Reproduction and Genetics 27, no. 1 (2009): 13–16. http://dx.doi.org/10.1007/s10815-009-9380-0.

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9

Foxe, J. P., V. u. N. Dar, H. Zheng, M. Nordborg, B. S. Gaut, and S. I. Wright. "Selection on Amino Acid Substitutions in Arabidopsis." Molecular Biology and Evolution 25, no. 7 (2008): 1375–83. http://dx.doi.org/10.1093/molbev/msn079.

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10

Asehraou, A., N. Ghabbour, Z. Lamzira, P. Thonart, P. Cidalia, and M. Markaoui. "Selection of oleuropein-degrading lactic acid bacteria strains isolated from fermenting Moroccan green olives." Grasas y Aceites 62, no. 1 (2011): 84–89. http://dx.doi.org/10.3989/gya.055510.

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11

Hassan, Eman Anwar. "Evaluation of Sperm Selection Technique Using Hyaluronic Acid Binding During ICSI; A Randomized Controlled Trial." Women's Health Science Journal 6, no. 1 (2022): 1–9. http://dx.doi.org/10.23880/whsj-16000164.

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Objective: To compare between Hyaluronan binding system for sperm selection for ICSI procedures (PICSI) and conventional morphology sperm selection. In vitro sperm selection for ICSI is important as it has a direct influence on the paternal contribution of preimplantation embryogenesis. Various laboratory tests were developed to assess the functions of the spermatozoa. Among them, only the tests for sperm DNA fragmentation, hyperactivation of the spermatozoa and the hyaluronan-binding ability are simple and fast. Study Design: A randomized controlled trial where three-hundred cases with male i

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12

Salamon, Hugh, William Klitz, Simon Easteal, et al. "Evolution of HLA Class II Molecules: Allelic and Amino Acid Site Variability Across Populations." Genetics 152, no. 1 (1999): 393–400. http://dx.doi.org/10.1093/genetics/152.1.393.

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Abstract Analysis of the highly polymorphic β1 domains of the HLA class II molecules encoded by the DRB1, DQB1, and DPB1 loci reveals contrasting levels of diversity at the allele and amino acid site levels. Statistics of allele frequency distributions, based on Watterson’s homozygosity statistic F, reveal distinct evolutionary patterns for these loci in ethnically diverse samples (26 populations for DQB1 and DRB1 and 14 for DPB1). When examined over all populations, the DQB1 locus allelic variation exhibits striking balanced polymorphism (P &lt; 10-4), DRB1 shows some evidence of balancin

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13

YOSHIMOTO, Keitaro. "Selection Technologies and Applications of Nucleic Acid Aptamers." Analytical Sciences 35, no. 10 (2019): 1063–64. http://dx.doi.org/10.2116/analsci.highlights1910.

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14

He, Song, Fanghong Gong, Yanan Guo, and Dechun Zhang. "Food-grade Selection Markers in Lactic Acid Bacteria." TAF Preventive Medicine Bulletin 11, no. 4 (2012): 499. http://dx.doi.org/10.5455/pmb.1-1309507875.

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15

Mishra, Ajit, Dave Shoesmith, and Paul Manning. "Materials Selection for Use in Concentrated Hydrochloric Acid." CORROSION 73, no. 1 (2016): 68–76. http://dx.doi.org/10.5006/2193.

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16

Henderson, Richard K., Alan P. Hill, Anikó M. Redman, and Helen F. Sneddon. "Development of GSK's acid and base selection guides." Green Chemistry 17, no. 2 (2015): 945–49. http://dx.doi.org/10.1039/c4gc01481b.

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17

Haggarty, P., DM Campbell, S. Duthie, et al. "Folic acid use in pregnancy and embryo selection." BJOG: An International Journal of Obstetrics & Gynaecology 115, no. 7 (2008): 851–56. http://dx.doi.org/10.1111/j.1471-0528.2008.01737.x.

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18

McClellan, David A. "Detecting molecular selection on single amino acid replacements." International Journal of Bioinformatics Research and Applications 8, no. 1/2 (2012): 67. http://dx.doi.org/10.1504/ijbra.2012.045977.

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19

., Asad-ur-Rehman, Sikander Ali ., and Ikram-ul-Haq . "Selection of Fermentation for Citric Acid in Bioreactor." Biotechnology(Faisalabad) 2, no. 3 (2003): 178–84. http://dx.doi.org/10.3923/biotech.2003.178.184.

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20

Sarbu, Ionela, Tatiana Vassu, Ileana Stoica, Emanuel Vamanu, and Diana Roxana Pelinescu. "Selection of lactic acid bacteria strains producing exopolysaccharides." Current Opinion in Biotechnology 22 (September 2011): S96—S97. http://dx.doi.org/10.1016/j.copbio.2011.05.302.

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21

Ribič, Pihler, Maruša, Kokalj, and Kitak. "Lead-Acid Battery Sizing for a DC Auxiliary System in a Substation by the Optimization Method." Energies 12, no. 22 (2019): 4400. http://dx.doi.org/10.3390/en12224400.

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Lead-acid batteries are the most frequently used energy storage facilities for the provision of a backup supply of DC auxiliary systems in substations and power plants due to their long service life and high reliability. It is possible to define the load in these systems, therefore the IEEE 485 Standard can be used for the selection of batteries according to the conventional method of selection. Special attention is paid in the paper to the technical selection of a lead-acid battery, which depends on its operational reliability that decreases with battery aging. It is defined by the extent of

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22

Ghoorah, Manisha, Bogdan Z. Dlugogorski, Reydick D. Balucan, and Eric M. Kennedy. "Selection of acid for weak acid processing of wollastonite for mineralisation of CO2." Fuel 122 (April 2014): 277–86. http://dx.doi.org/10.1016/j.fuel.2014.01.015.

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23

Cameron, N. D., S. C. Bishop, B. K. Speake, J. Bracken, and R. C. Noble. "Lipid composition and metabolism of subcutaneous fat in sheep divergently selected for carcass lean content." Animal Production 58, no. 2 (1994): 237–42. http://dx.doi.org/10.1017/s1357729800042545.

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AbstractFatty acid synthetase and lipoprotein lipase activities, lipid content of adipose tissue and the fatty acid composition of subcutaneous fat, sampled by biopsy at the 13th rib, were measured in 20-week-old rams from lines of Texel-Oxford (TO) and Scottish Blackface (SB) sheep, both divergently selected for carcass lean content. A total of 150 animals were measured, with close to equal numbers of animals per selection line-breed combination.In both breeds, the high (lean) selection lines had significantly lower backfat depths (TO : 0·5 mm and SB : 0·6 mm, s.e.d. 0·2) than the low (fat) l

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24

Bondareva, O. V., A. A. Tolkacheva, N. A. Nekrasova, G. P. Shuvaeva, D. A. Cherenkov, and O. S. Korneeva. "Selection of optimal conditions for the lactic acid biosynthesis." Proceedings of the Voronezh State University of Engineering Technologies 84, no. 1 (2022): 112–17. http://dx.doi.org/10.20914/2310-1202-2022-1-112-117.

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Lactic acid is used in various industries: chemical, food, cosmetic, pharmaceutical, agriculture and polymer production. 40% of the domestic market demand for lactic acid is met through imports, while the main methods for producing lactic acid are microbiological or synthetic. The most rational is microbiological synthesis, however, when it is implemented, valuable sugar-containing substrates (crystalline sucrose, molasses, sugar syrup) are used, which significantly affects the cost of the final product. There was an obvious need to search for new technologies for the production of lactic acid

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25

Nielsen, Rasmus, and Ziheng Yang. "Likelihood Models for Detecting Positively Selected Amino Acid Sites and Applications to the HIV-1 Envelope Gene." Genetics 148, no. 3 (1998): 929–36. http://dx.doi.org/10.1093/genetics/148.3.929.

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Abstract Several codon-based models for the evolution of protein-coding DNA sequences are developed that account for varying selection intensity among amino acid sites. The “neutral model” assumes two categories of sites at which amino acid replacements are either neutral or deleterious. The “positive-selection model” assumes an additional category of positively selected sites at which nonsynonymous substitutions occur at a higher rate than synonymous ones. This model is also used to identify target sites for positive selection. The models are applied to a data set of the V3 region of the HIV-

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26

Zhang, Lichao, and Liang Kong. "A Novel Amino Acid Properties Selection Method for Protein Fold Classification." Protein & Peptide Letters 27, no. 4 (2020): 287–94. http://dx.doi.org/10.2174/0929866526666190718151753.

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Background: Amino acid physicochemical properties encoded in protein primary structure play a crucial role in protein folding. However, it is not yet clear which of the properties are the most suitable for protein fold classification. Objective: To avoid exhaustively searching the total properties space, an amino acid properties selection method was proposed in this study to rapidly obtain a suitable properties combination for protein fold classification. Method: The proposed amino acid properties selection method was based on sequential floating forward selection strategy. Beginning with an e

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27

IINO, Shuuichi, Masahira WATANABE, Tokuhiko KASUGA, and Shoji GOTO. "Selection of Wine Yeasts having High Malic Acid Productivity." JOURNAL OF THE BREWING SOCIETY OF JAPAN 89, no. 7 (1994): 557–62. http://dx.doi.org/10.6013/jbrewsocjapan1988.89.557.

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28

Akhmerova, E. E., E. A. Shafikova, G. I. Apkarimova, et al. "Selection of Effective Acid Compound for Carbonate Collector Treatment." Bashkir chemistry journal 25, no. 3 (2018): 86. http://dx.doi.org/10.17122/bcj-2018-3-86-92.

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29

Rao, I. M., R. S. Zeigler, R. Vera, and S. Sarkarung. "Selection and Breeding for Acid-Soil Tolerance in Crops." BioScience 43, no. 7 (1993): 454–65. http://dx.doi.org/10.2307/1311905.

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30

Klemme, Sonja, Yorick De Smet, Bruno Cammue, and Marc De Block. "Selection of Salicylic Acid Tolerant Epilines in Brassica napus." Agronomy 9, no. 2 (2019): 92. http://dx.doi.org/10.3390/agronomy9020092.

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Two of the major pathways involved in induced defense of plants against pathogens include the salicylic acid (SA)- and jasmonic acid (JA)-mediated pathways that act mainly against biotrophs and necrotrophs, respectively. However, some necrotrophic pathogens, such as Botrytis cinerea, actively induce the SA pathway, resulting in cell death that allows the pathogen to proliferate in the plant. Starting from an isogenic canola (Brassica napus) line, epilines were selected with a reduced sensitivity to SA. The genes belonging to the SA pathway had an altered transcription profile in the SA-toleran

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31

HERIBAN, V., P. MATUŠ, E. ŠTURDÍK, and V. SITKEY. "Lactic acid fermentative production. V. Selection of lactobacillus strain." Kvasny Prumysl 40, no. 5 (1994): 140–46. http://dx.doi.org/10.18832/kp1994011.

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32

Begemann, Matthew B., Erin K. Zess, Eric M. Walters, Emily F. Schmitt, Andrew L. Markley, and Brian F. Pfleger. "An Organic Acid Based Counter Selection System for Cyanobacteria." PLoS ONE 8, no. 10 (2013): e76594. http://dx.doi.org/10.1371/journal.pone.0076594.

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33

Moses, A. M., and R. Durbin. "Inferring Selection on Amino Acid Preference in Protein Domains." Molecular Biology and Evolution 26, no. 3 (2008): 527–36. http://dx.doi.org/10.1093/molbev/msn286.

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34

Suzuki, Y., T. Gojobori, and M. Nei. "ADAPTSITE: detecting natural selection at single amino acid sites." Bioinformatics 17, no. 7 (2001): 660–61. http://dx.doi.org/10.1093/bioinformatics/17.7.660.

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35

Osborne, Scott E., and Andrew D. Ellington. "Nucleic Acid Selection and the Challenge of Combinatorial Chemistry." Chemical Reviews 97, no. 2 (1997): 349–70. http://dx.doi.org/10.1021/cr960009c.

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36

López-Porfiri, Pablo, Patricia Gorgojo, and Maria Gonzalez-Miquel. "Green Solvent Selection Guide for Biobased Organic Acid Recovery." ACS Sustainable Chemistry & Engineering 8, no. 24 (2020): 8958–69. http://dx.doi.org/10.1021/acssuschemeng.0c01456.

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37

Wei, Zidong. "Selection of an anode for acid zinc-nickel electroplating." Metal Finishing 97, no. 2 (1999): 84–86. http://dx.doi.org/10.1016/s0026-0576(99)80250-5.

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38

Mozioglu, Erkan, Ozgur Gokmen, Candan Tamerler, Zuhtu Tanil Kocagoz, and Muslum Akgoz. "Selection of Nucleic Acid Aptamers Specific for Mycobacterium tuberculosis." Applied Biochemistry and Biotechnology 178, no. 4 (2015): 849–64. http://dx.doi.org/10.1007/s12010-015-1913-7.

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39

Bacher, Jamie M., and Andrew D. Ellington. "Nucleic acid selection as a tool for drug discovery." Drug Discovery Today 3, no. 6 (1998): 265–73. http://dx.doi.org/10.1016/s1359-6446(97)01166-5.

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40

Cohen, Marvin B. "Selection and characterization of mycophenolic acid-resistant leukemia cells." Somatic Cell and Molecular Genetics 13, no. 6 (1987): 627–33. http://dx.doi.org/10.1007/bf01534483.

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41

Chung, H. S., Y. B. Kim, S. L. Chun, and G. E. Ji. "Screening and selection of acid and bile resistant bifidobacteria." International Journal of Food Microbiology 47, no. 1-2 (1999): 25–32. http://dx.doi.org/10.1016/s0168-1605(98)00180-9.

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42

Chawla, H. S., and G. Wenzel. "In vitro Selection for Fusaric Acid Resistant Barley Plants." Plant Breeding 99, no. 2 (1987): 159–63. http://dx.doi.org/10.1111/j.1439-0523.1987.tb01166.x.

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43

Woolley, S., J. Johnson, M. J. Smith, K. A. Crandall, and D. A. McClellan. "TreeSAAP: Selection on Amino Acid Properties using phylogenetic trees." Bioinformatics 19, no. 5 (2003): 671–72. http://dx.doi.org/10.1093/bioinformatics/btg043.

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44

Giraffa, Giorgio. "Selection and design of lactic acid bacteria probiotic cultures." Engineering in Life Sciences 12, no. 4 (2012): 391–98. http://dx.doi.org/10.1002/elsc.201100118.

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45

MASSIRBAEVA, A. D., A. K. SADANOV, B. B. BAIMAKHANOVA та ін. "ПОДБОР ПИТАТЕЛЬНОЙ СРЕДЫ ДЛЯ ПОЛУЧЕНИЯ ЛИОФИЛИЗАТА АССОЦИАЦИИ МОЛОЧНОКИСЛЫХ БАКТЕРИЙ". МИКРОБИОЛОГИЯ ЖӘНЕ ВИРУСОЛОГИЯ, № 3(46) (17 вересня 2024): 226–39. http://dx.doi.org/10.53729/mv-as.2024.03.13.

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The article describesthe preparation of lactic acid bacteria association lyophilizate based on Lacticaseibacillus paracasei 30/1 and Lacticaseibacillus paracasei 36/1, which are part ofa probiotic drug against intestinal and extra-intestinal infections of humans. Accordingto the results of the study, the best medium for growing this probiotic association is a nutrient medium of the following composition (g/l): glucose - 15.0; yeast extract - 5.0; meat extract - 5.0; peptone - 10.0; ammonium citric acid - 2.0; sodium acetic acid - 2.0; potassium phosphoric acid 1-substituted - 2.0; sodium phosp

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46

Moury, Benoît, Caroline Morel, Elisabeth Johansen, and Mireille Jacquemond. "Evidence for diversifying selection in Potato virus Y and in the coat protein of other potyviruses." Journal of General Virology 83, no. 10 (2002): 2563–73. http://dx.doi.org/10.1099/0022-1317-83-10-2563.

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The modes of evolution of the proteins of Potato virus Y were investigated with a maximum-likelihood method based on estimation of the ratio between non-synonymous and synonymous substitution rates. Evidence for diversifying selection was obtained for the 6K2 protein (one amino acid position) and coat protein (24 amino acid positions). Amino acid sites in the coat proteins of other potyviruses (Bean yellow mosaic virus, Yam mosaic virus) were also found to be under diversifying selection. Most of the sites belonged to the N-terminal domain, which is exposed to the exterior of the virion partic

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47

Morrell, J. M., and H. Rodriguez-Martinez. "Practical Applications of Sperm Selection Techniques as a Tool for Improving Reproductive Efficiency." Veterinary Medicine International 2011 (2011): 1–9. http://dx.doi.org/10.4061/2011/894767.

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Modern biotechnologies are used extensively in the animal breeding industry today. Therefore, it is essential that sperm handling procedures do not modulate the normal physiological mechanisms occurring in the female reproductive tract. In this paper, the different selection mechanisms occurringin vivoare described briefly, together with their relevance to artificial insemination, followed by a detailed description of the different selection processes used in reproductive biotechnologies. These selection methods included fractionated semen collection, cryopreservation, biomimetic sperm selecti

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48

Alves, Rui, and Michael A. Savageau. "Evidence of selection for low cognate amino acid bias in amino acid biosynthetic enzymes." Molecular Microbiology 56, no. 4 (2005): 1017–34. http://dx.doi.org/10.1111/j.1365-2958.2005.04566.x.

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49

Raghavendra, Ponnala, and Prakash M. Halami. "Screening, selection and characterization of phytic acid degrading lactic acid bacteria from chicken intestine." International Journal of Food Microbiology 133, no. 1-2 (2009): 129–34. http://dx.doi.org/10.1016/j.ijfoodmicro.2009.05.006.

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50

Akashi, Hiroshi. "Translational Selection and Yeast Proteome Evolution." Genetics 164, no. 4 (2003): 1291–303. http://dx.doi.org/10.1093/genetics/164.4.1291.

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AbstractThe primary structures of peptides may be adapted for efficient synthesis as well as proper function. Here, the Saccharomyces cerevisiae genome sequence, DNA microarray expression data, tRNA gene numbers, and functional categorizations of proteins are employed to determine whether the amino acid composition of peptides reflects natural selection to optimize the speed and accuracy of translation. Strong relationships between synonymous codon usage bias and estimates of transcript abundance suggest that DNA array data serve as adequate predictors of translation rates. Amino acid usage al

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