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Ribose

Ribose is a pentose sugar that plays a crucial role in the structure and function of ribonucleic acid (RNA) molecules.
It is an essential component of nucleotides, the building blocks of RNA, and is involved in various biological processes such as energy production, genetic information storage and transfer, and cellular signaling.
Ribose can be synthesized by the body through metabolic pathways or obtained from dietary sources.
Understanding the properties and functions of ribose is key for researchers studying RNA-based mechanisms and developing RNA-based therapies or diagnostics.
PubCompare.ai can help streamline your ribose research by identifying the most accurate and reproducible protocols from literature, preprints, and patents, leveraging advanced AI to optimize your experimental approach and drive your research forward with confidence and effieency.

Most cited protocols related to «Ribose»

1
Analyzing Nucleic Acid Backbone Conformations
Backbone parameters comprise the single bond torsions along the phosphodiester chain and the conformation of the sugar ring. In a conventional DNA strand, the backbone segment associated with each nucleotide (in the 5′→3′ direction) is described by the torsions α (03′-P-O5′-C5′), β (P-O5′-C5′-C4′), γ (O5′-C5′-C4′-C3′), δ (C5′-C4′-C3′-O3′), ϵ (C4′-C3′-O3′-P) and ζ (C3′-O3′-P-O5′), to which we must add the glycosidic angle χ (O4′-C1′-N1-C2 for pyrimidines and O4′-C1′-N9-C4 for purines) joining the sugar to the base and the ribose OH torsion (C1′-C2′-O2′-H2′) in the case of RNA.
We remark that calculating averages and standard deviations of angular variables is not trivial, unless they cover restricted angular ranges. There is also no simple definition of maximal and minimal values. This problem occurs in many branches of science with broadly distributed angular variables, for example, in analysing wind directions (30 ). While angular helical variables generally lie within limited ranges, backbone dihedrals can easily span the full range of 360°. In this case, maximal and minimal values in the Curves+ analysis are replaced with the parameter ‘range’ and angular averages and standard deviations are calculated using a vectorial approach. Range is defined as the number of 1° bins visited by a given variable in the interval 0–360°. This gives a good idea of the angular spread of variables. Note that when analysing molecular dynamics trajectories, this value may increase with sampling, giving an indication that more sampling probably needs to be done. However, the details of the angular distribution can be checked using the histogram output option of the supplementary program Canal (see below). For averages, angles are added as vectors in 2D space (with an angle θ having components x = Cos θ and y = Sin θ). The result is converted to a unit vector, whose X and Y components yield the average. Other approaches require assuming that the angles obey a presupposed type of distribution. We have checked our values against one such model (31 ), and found negligible differences for standard deviations up to roughly 20°. Larger values differ more significantly (5–10°), but in these cases it is the qualitative result that the variables in question fluctuate very strongly that is the most important.
The sugar ring is usefully described using pseudorotation parameters. Although strictly speaking there are four pseudorotation parameters for a five-membered ring (32 (link)), only two of these, the so-called phase (Pha) and amplitude (Amp), are generally useful. While the amplitude describes the degree of ring puckering, the phase describes which atoms are most displaced from the mean ring plane. We calculate these parameters using the formulae given below (33 ), which have the advantage of treating the ring dihedrals ν1 (C1′-C2′-C3′-C4′) to ν5 (O4′-C1′-C2′-C3′) in an equivalent manner. In this approach:

where and b =−0.4 note, if then .
Conventionally, sugar ring puckers are divided into 10 families described by the atom which is most displaced from the mean ring plane (C1′, C2′, C3′, C4′ or O4′) and the direction of this displacement (endo for displacements on the side of the C5′ atom and exo for displacements on the other side). These pucker families can be easily calculated from the phase angle and are also output by the Curves+ program.
In order to deal with non-standard nucleic acids the backbone parameters are not hard-wired into the program, but are contained in a data file (standard_s.lib) which can be modified or extended by this user. This makes it easy to analyse chemically modified backbones such as those, for example, in PNA (34 (link)).
Lavery R., Moakher M., Maddocks J.H., Petkeviciute D, & Zakrzewska K. (2009). Conformational analysis of nucleic acids revisited: Curves+. Nucleic Acids Research, 37(17), 5917-5929.
Publication 2009
Carbohydrates Cloning Vectors Displacement, Psychology Endometriosis Glycosides Helix (Snails) Molecular Dynamics Nucleic Acids Nucleotides Pulp Canals purine Pyrimidines Ribose single bond Vertebral Column Wind
2
Base Pair Classification in DSSR
DSSR classifies base pairs by two commonly used nomenclatures: the 28 hydrogen-bonding types from Saenger (31 ) and the 12 basic geometric classes of Leontis-Westhof (LW) (32 (link)). Additionally, DSSR introduces a new classification scheme that defines three base-centric interacting edges (Watson-Crick, minor groove, major groove; Figure 1C) and takes consideration of the two relative base orientations (‘+’ and ‘–’, see above). These geometrically defined base edges retain the simplicity and usefulness of the LW method, and eliminate the ambiguities associated with the LW RNA-specific ‘sugar’ edge that ties the base minor-groove edge to the ribose sugar 2′-hydroxyl group. Details about the new base-pair classification scheme will be reported elsewhere.
Lu X.J., Bussemaker H.J, & Olson W.K. (2015). DSSR: an integrated software tool for dissecting the spatial structure of RNA. Nucleic Acids Research, 43(21), e142.
Publication 2015
Base Pairing Carbohydrates Hydroxyl Radical Mental Orientation Ribose
3
Glycated Osteocalcin Mass Spectrometry

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Publication 2017
acetonitrile Anabolism Buffers Digestion Dithiothreitol Electron Transport Empore formic acid Glucose Gold High-Performance Liquid Chromatographies Immune Tolerance Iodoacetamide isolation Mass Spectrometry Osteocalcin Peptides Promega Proteins PRSS1 protein, human Radionuclide Imaging Ribose Tandem Mass Spectrometry Trypsin Z-200
4
Quantifying Mg2+ Binding to Nucleic Acids
All ≈5 500 nucleic acid crystal structures deposited to the Protein Data Bank (PDB; May 2016; resolution ≤ 3.0 Å) were searched for Mg2+ binding to purine and pyrimidine imine N1/N3/N7 atoms (or Nb atoms as defined in reference (12 (link))). To determine cut-off distances for the identification of Mg2+ bound to imine nitrogens, we relied on a histogram derived from a CSD search (CSD: Cambridge Structural Database, Version 5.37, February 2016) that identified precise Mg2+ to water coordination distances as well as ion exclusion zones (Figure 1). Note that the CSD (57 (link)) is a repository for small molecule crystallographic structure that were solved with much better accuracy and, in general, at much higher resolution than those from the PDB. These data parallel those derived from quantum mechanical calculations (58 ), other PDB surveys (23 ,59 (link)) and first principles molecular dynamics simulations of Mg2+ in aqueous solution (60 –62 ) that all suggest that: (i) the Mg2+…OH2 coordination distance is slightly below 2.1 Å; (ii) no water oxygens are found within a d(Mg2+…Ow) ≈2.2–3.8 Å ‘exclusion zone’; (iii) the second coordination shell starts at a 3.8 Å distance from Mg2+ and peaks at 4.2 Å. However, since we mostly deal with medium to low-resolution crystallographic structures (3.0 Å ≥ resolution ≥ 2.0 Å), we used more relaxed criteria to identify solvent species around imine nitrogens. Further, we need to consider that, although the most appropriate Mg2+…O coordination distance is in the 2.06–2.08 Å range, the default value in the libraries used by the PHENIX (63 ) and REFMAC (64 ) refinement programs for d(Mg2+…Ow) is 2.18 Å. In some instances, this overestimated coordination distance induces serious stereochemical approximations (see below). Bearing in mind that we focus on Mg2+ to nitrogen distances, we have also to consider that some authors estimate that the Mg2+…N distance is slightly longer (≈2.2 Å) than the Mg2+…O distance in agreement with quantum mechanical calculations and PDB/CSD surveys (12 (link),21 25 ). Thus, to a first approximation, our procedures place Mg2+ with d(Mg2+…N) ≤ 2.4 Å in the pool of possible direct binders, while those with distances in the 2.4–3.8 Å exclusion zone were inspected for misidentification.
Since CSD surveys established that divalent ions directly interacting with a purine or imidazole nitrogen lone pair are located in the C–N=C plane (25 ,65 ), we applied a 1.0 Å cut-off on the distance between the ion and the nucleobase plane. This criterion applies to divalent ions and not to the less strongly bound alkali (Na+, K+) and the larger alkali earth ions (Ca2+, Sr2+) that display a greater propensity to lie out-of-plane. The searches included also contacts generated by applying crystallographic symmetry operations.
In the ≤ 3.0 Å resolution range, ions with B-factors ≥ 79 Å2 were excluded from our statistics since such high B-factors do not warrant unequivocal binding site characterizations. Further, we excluded ions with B-factors ≤ 1.0 Å2 that are definitely not reliable for Mg2+ and hint to the presence of a more electron rich atom (see below). Only Mg2+ with occupancy of 1.0 were considered unless otherwise specified. Finally, for all Mg2+ ions close to imine nitrogens that we identified as suspect, the Fo−Fc and 2Fo−Fc electron density maps deposited to the Uppsala Electron Density Server (EDS) were visualized (66 ). When these maps were not available—typically for large ribosomal structures—we calculated them with phenix.maps by using the structure factors retrieved from the PDB (63 ).
Non-redundant Mg2+ binding sites were identified as follows. If two nucleotides from different structures involved in a similar Mg2+ binding event shared the same residue numbers, chain codes, trinucleotide sequences, ribose puckers, backbone dihedral angle sequences (we used the g+, g−, t categorization) and syn/anti conformations, they were considered as similar and the one with the best resolution was marked as non-redundant. In case of matching resolutions, the nucleotide with the lowest B-factor was selected. Likewise, if in the same structure two nucleotides involved in a similar Mg2+ binding event shared the same residue numbers and trinucleotide sequences (with different chain codes) as well as ribose puckers, backbone dihedral angle sequences and syn/anti conformations, they were considered as similar and the one corresponding to the first biological unit was marked as non-redundant. To further limit redundancy in the largest ribosomal structures, we restricted our analysis to a single biological assembly when more than one was present (see Supplementary Material for selection criteria).
Two non-redundant sets were calculated with a 2.4 and a 3.5 Å d(Mg2+…N1/N3/N7) distance cutoff, respectively (Table 1). Note that it is impossible to completely eliminate redundancy from such a complex structural ensemble without eliminating at the same time relevant data. Here, we provide an upper limit for a truly ‘non-redundant’ set. Redundancy issues are further complicated by some systematic assignment errors such as the nucleotide misidentification identified in the first H. marismortui 50S structures that leads to the characterization of two distinct structural ensembles (Supplementary Table S1 and Figure S1).
Leonarski F., D'Ascenzo L, & Auffinger P. (2016). Mg2+ ions: do they bind to nucleobase nitrogens?. Nucleic Acids Research, 45(2), 987-1004.
Publication 2016
Acids Alkalies Binding Sites Biopharmaceuticals Cell Nucleus Structures Complement Factor B Crystallography Electrons imidazole Imines Ions Microtubule-Associated Proteins Molecular Structure Nitrogen Nucleotides Oxygen purine pyrimidine Ribose Ribosomes Solvents Vertebral Column
5
Hydroxyl Radical Scavenging Assay Protocol
This was assayed as described by Elizabeth and Rao [10 ] with a slight modification. The assay is based on quantification of the degradation product of 2-deoxyribose by condensation with TBA. Hydroxyl radical was generated by the Fe3+-ascorbate-EDTA-H2O2 system (the Fenton reaction). The reaction mixture contained, in a final volume of 1 ml, 2-deoxy-2-ribose (2.8 mM); KH2PO4-KOH buffer (20 mM, pH 7.4); FeCl3 (100 μM); EDTA (100 μM); H2O2 (1.0 mM); ascorbic acid (100 μM) and various concentrations (0–200 μg/ml) of the test sample or reference compound. After incubation for 1 h at 37°C, 0.5 ml of the reaction mixture was added to 1 ml 2.8% TCA, then 1 ml 1% aqueous TBA was added and the mixture was incubated at 90°C for 15 min to develop the color. After cooling, the absorbance was measured at 532 nm against an appropriate blank solution. All tests were performed six times. Mannitol, a classical OH. scavenger, was used as a positive control. Percentage inhibition was evaluated by comparing the test and blank solutions.
Hazra B., Biswas S, & Mandal N. (2008). Antioxidant and free radical scavenging activity of Spondias pinnata. BMC Complementary and Alternative Medicine, 8, 63.
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Publication 2008
Ascorbic Acid Biological Assay Buffers Deoxyribose Edetic Acid Gas Scavengers Hydroxyl Radical Mannitol oxytocin, 1-desamino-(O-Et-Tyr)(2)- Peroxide, Hydrogen Psychological Inhibition Ribose

Most recents protocols related to «Ribose»

1
Generation and Maintenance of Haploid Human Embryonic Stem Cells
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Example 3

We generated and analyzed a collection of 14 early-passage (passage ≤9) human pES cell lines for the persistence of haploid cells. All cell lines originated from activated oocytes displaying second polar body extrusion and a single pronucleus. We initially utilized chromosome counting by metaphase spreading and G-banding as a method for unambiguous and quantitative discovery of rare haploid nuclei. Among ten individual pES cell lines, a low proportion of haploid metaphases was found exclusively in a single cell line, pES10 (1.3%, Table 1B). We also used viable FACS with Hoechst 33342 staining, aiming to isolate cells with a DNA content corresponding to less than two chromosomal copies (2c) from four additional lines, leading to the successful enrichment of haploid cells from a second cell line, pES12 (Table 2).

Two individual haploid-enriched ES cell lines were established from both pES10 and pES12 (hereafter referred to as h-pES10 and h-pES12) within five to six rounds of 1c-cell FACS enrichment and expansion (FIG. 1C (pES10), FIG. 5A (pES12)). These cell lines were grown in standard culture conditions for over 30 passages while including cells with a normal haploid karyotype (FIG. 1D, FIG. 5B). However, since diploidization occurred at a rate of 3-9% of the cells per day (FIG. 1E), cell sorting at every three to four passages was required for maintenance and analysis of haploid cells. Further, visualization of ploidy in adherent conditions was enabled by DNA fluorescence in situ hybridization (FISH) (FIG. 1F, FIG. 5c) and quantification of centromere protein foci (FIG. 1G, FIG. 5D; FIG. 6). In addition to their intact karyotype, haploid ES cells did not harbor significant copy number variations (CNVs) relative to their unsorted diploid counterparts (FIG. 5E). Importantly, we did not observe common duplications of specific regions in the two cell lines that would result in pseudo-diploidy. Therefore, genome integrity was preserved throughout haploid-cell isolation and maintenance. As expected, single nucleotide polymorphism (SNP) array analysis demonstrated complete homozygosity of diploid pES10 and pES12 cells across all chromosomes.

Both h-pES10 and h-pES12 exhibited classical human pluripotent stem cell features, including typical colony morphology and alkaline phosphatase activity (FIG. 2A, FIG. 2B). Single haploid ES cells expressed various hallmark pluripotency markers (NANOG, OCT4, SOX2, SSEA4 and TRA1-60), as confirmed in essentially pure haploid cultures by centromere foci quantification (>95% haploids) (FIG. 2C, FIG. 7). Notably, selective flow cytometry enabled to validate the expression of two human ES-cell-specific cell surface markers (TRA-1-60 and CLDN618) in single haploid cells (FIG. 2D). Moreover, sorted haploid and diploid ES cells showed highly similar transcriptional and epigenetic signatures of pluripotency genes (FIG. 2E, FIG. 2F). Since the haploid ES cells were derived as parthenotes, they featured distinct transcriptional and epigenetic profiles of maternal imprinting, owing to the absence of paternally-inherited alleles (FIG. 8).

Haploid cells are valuable for loss-of-function genetic screening because phenotypically-selectable mutants can be identified upon disruption of a single allele. To demonstrate the applicability of this principle in haploid human ES cells, we generated a genome-wide mutant library using a piggyBac transposon gene trap system that targets transcriptionally active loci (FIG. 2G, FIG. 8E), and screened for resistance to the purine analog 6-thioguanine (6-TG). Out of six isolated and analyzed 6-TG-resistant colonies, three harbored a gene trap insertion localizing to the nucleoside diphosphate linked moiety X-type motif 5 (NUDT5) autosomal gene (FIG. 2H). NUDT5 disruption was recently confirmed to confer 6-TG resistance in human cells,51 by acting upstream to the production of 5-phospho-D-ribose-1-pyrophosphate (PRPP), which serves as a phosphoribosyl donor in the hypoxanthine phosphoribosyltransferase 1 (HPRT1)-mediated conversion of 6-TG to thioguanosine monophosphate (TGMP) (FIG. 2I). Detection of a loss-of-function phenotype due to an autosomal mutation validates that genetic screening is feasible in haploid human ES cells.

US11859232B2. Screening for chemotherapy resistance in human haploid cells (2024-01-02). YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM LTD. [IL]. Inventors: Nissim Benvenisty [IL].
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Patent 2024
Alkaline Phosphatase Alleles Cell Lines Cell Nucleus Cells Cell Separation Centromere Chromosomes Copy Number Polymorphism Diphosphates Diploid Cell Diploidy Embryonic Stem Cells Flow Cytometry Fluorescent in Situ Hybridization Genes Genes, vif Genitalia Genome Genomic Library Haploid Cell HOE 33342 Homo sapiens Homozygote Human Embryonic Stem Cells Hypoxanthine Phosphoribosyltransferase isolation Jumping Genes Karyotype Metaphase Mothers Mutation Nucleosides Oocytes Phenotype Pluripotent Stem Cells Polar Bodies POU5F1 protein, human Proteins purine Ribose Single Nucleotide Polymorphism SOX2 protein, human stage-specific embryonic antigen-4 Tissue Donors Transcription, Genetic
2
Efficient Incorporation of Reversible Terminators
Not available on PMC !

Example 7

Another important property of a nucleotide with a reversible terminator (e.g., 3′ cleavable moiety as described herein) is the ability to be rapidly incorporated by a DNA polymerase. Naturally occurring DNA polymerases are typically not capable of incorporating nucleotides modified with reversible terminator (e.g., 3′ cleavable moiety as described herein) at the 3′ position on the ribose of the nucleotide. As known in the art, a number of thermophilic polymerases have been engineered to enable the incorporation of nucleotides modified with 3′ terminators. The table below shows the half-time for incorporation of RT #1, and two isomers of RT #2 by a modified thermophilic polymerase (Therminator 3, from New England BioLabs). The reaction was carried out in a buffered solution at pH 8.5, with nucleotides at 200 nM concentration, 4 mM Mg, at a temperature of 55° C. The polymerase was pre-bound to the primed DNA template. All three terminated nucleotides are efficiently incorporated by the modified DNA polymerase. The polymerase can be further modified for desired properties such as incorporation rate and accuracy.

TABLE 3
Reversible TerminatorIncorporation half-time
RT #114 +/− 3 sec
RT #2, Isomer A 9 +/− 3 sec
RT #2, Isomer B12 +/− 3 sec

US11878993B2. Nucleotide analogues (2024-01-23). Singular Genomics Systems, Inc [US]. Inventors: Ronald Graham [US], Olga Adelfinskaya [US], Megha Cila [US], Rodrigo Rodriguez [US], Abrehet Abdu [US], Eli N. Glezer [US].
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Patent 2024
DNA-Directed DNA Polymerase Isomerism Nucleotides Ribose
3
Plantaricin Production Enhancement by Carbohydrates and Amino Acids
According to the results of transcriptomic and proteomic analyses, the carbohydrate substance (mannose, galactose, cellobiose, and D-ribose) was added to the mono-culture of L. paraplantarum RX-8 at the concentrations of 2, 20, and 200 mM. Meanwhile, the amino acid substance (arginine, cysteine, glutamate, and glutamine) was added to the mono-culture of L. paraplantarum RX-8 at the concentrations of 0.5, 1.25, and 2.5 g/L. After being cultured for 24 h at 37°C, the supernatants of each sample were collected for the plantaricin production assay. The mono-culture of L. paraplantarum RX-8 was used as a control.
Nie R., Zhu Z., Qi Y., Wang Z., Sun H, & Liu G. (2023). Bacteriocin production enhancing mechanism of Lactiplantibacillus paraplantarum RX-8 response to Wickerhamomyces anomalus Y-5 by transcriptomic and proteomic analyses. Frontiers in Microbiology, 14, 1111516.
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Publication 2023
Amino Acids Arginine Biological Assay Carbohydrates Cellobiose Cysteine Galactose Gene Expression Profiling Glutamates Glutamine Mannose Ribose
4
Modulating Plantaricin Production via AI-2 Inhibitor
To determine AI-2's role in inducing effect, AI-2 inhibitor D-ribose (0, 200, 300, and 400 mM) was added to the co-culture system; then, the plantaricin production of these samples at 24 h was detected according to Section 2.2, as described earlier. The plantaricin production in co-culture was used as the positive control, and that in mono-culture was used as the negative control.
The AI-2 activity was detected by the bioluminescence of Vibrio harveyi BB170. After overnight culture at 30°C, V. harveyi BB170 was diluted in a ratio of 1:5,000 with fresh AB medium. The CFSs of the above samples were adjusted to pH 7.0, then filtrated with a 0.22-μm sterile filter, and added to the diluted BB170 culture at the percentage of 10%. The mixture was incubated at 30°C for 4 h under aerobic conditions (180 rpm), and 200 μl of aliquots were added to white 96-well plates (Thermo, USA) to measure relative luminescence units (RLUs) using the Multi-Detection Plate Reader (SpectraMax i3, Molecular Devices, USA). The suspension of strain BB170 in AB medium (1:5,000) was used as a blank control.
Nie R., Zhu Z., Qi Y., Wang Z., Sun H, & Liu G. (2023). Bacteriocin production enhancing mechanism of Lactiplantibacillus paraplantarum RX-8 response to Wickerhamomyces anomalus Y-5 by transcriptomic and proteomic analyses. Frontiers in Microbiology, 14, 1111516.
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Publication 2023
Bacteria, Aerobic Chronic Fatigue Syndrome Coculture Techniques Hartnup Disease Luminescence Medical Devices Ribose Sterility, Reproductive Strains Vibrio harveyi
5
Atomic Models of Morpholino Oligonucleotides

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Publication 2023
Adenine Cytosine Guanine Molecular Dynamics Morpholinos Nucleotides Polyethylene Glycols Ribose Thymine Vertebral Column

Top products related to «Ribose»

1
D ribose by Merck Group
Sourced in United States, Germany, China, Sao Tome and Principe, France
D-ribose is a simple sugar that serves as a component of ribonucleic acid (RNA). It is a naturally occurring carbohydrate found in various organisms and functions as a key structural element in the backbone of RNA molecules.
2
Ribose by Merck Group
Sourced in United States, Germany, Sao Tome and Principe
Ribose is a type of sugar molecule that is a key component of ribonucleic acid (RNA), which is essential for various biological processes. It serves as a building block for the genetic material and plays a crucial role in the production and regulation of proteins within cells.
3
2 deoxy d ribose by Merck Group
Sourced in United States, Germany, Japan, Portugal
2-deoxy-D-ribose is a monosaccharide that is structurally similar to ribose, a component of ribonucleic acid (RNA). It is used as a chemical building block in various laboratory applications.
4
Galactose by Merck Group
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Galactose is a monosaccharide that serves as a core component in various laboratory analyses and experiments. It functions as a fundamental building block for complex carbohydrates and is utilized in the study of metabolic processes and cellular structures.
5
Arabinose by Merck Group
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Arabinose is a monosaccharide that is commonly used as a component in various laboratory equipment and supplies. It functions as a carbohydrate source and can be utilized in various biochemical and microbiological applications.
6
Xylose by Merck Group
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Xylose is a monosaccharide that can be used in laboratory equipment and procedures. It is a key component in various biochemical and analytical applications.
7
2 2 diphenyl 1 picrylhydrazyl (dpph) by Merck Group
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DPPH is a chemical compound used as a free radical scavenger in various analytical techniques. It is commonly used to assess the antioxidant activity of substances. The core function of DPPH is to serve as a stable free radical that can be reduced, resulting in a color change that can be measured spectrophotometrically.
8
D glucose by Merck Group
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D-glucose is a type of monosaccharide, a simple sugar that serves as the primary source of energy for many organisms. It is a colorless, crystalline solid that is soluble in water and other polar solvents. D-glucose is a naturally occurring compound and is a key component of various biological processes.
9
Ascorbic acid by Merck Group
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Ascorbic acid is a chemical compound commonly known as Vitamin C. It is a water-soluble vitamin that plays a role in various physiological processes. As a laboratory product, ascorbic acid is used as a reducing agent, antioxidant, and pH regulator in various applications.

More about "Ribose"

Ribose, a pentose sugar, is a crucial component of ribonucleic acid (RNA) and plays a vital role in various biological processes.
This monosaccharide is an essential building block of nucleotides, the fundamental units of RNA, and is involved in energy production, genetic information storage and transfer, as well as cellular signaling.
Ribose can be synthesized endogenously through metabolic pathways or obtained from dietary sources, such as D-ribose, which is a common form of this sugar.
Understanding the properties and functions of ribose is crucial for researchers studying RNA-based mechanisms and developing RNA-based therapies or diagnostics.
In addition to ribose, other related sugars like 2-deoxy-D-ribose, galactose, arabinose, and xylose have their own unique roles and applications.
For instance, 2-deoxy-D-ribose is a component of deoxyribonucleic acid (DNA), while galactose, arabinose, and xylose are found in various plant-based polysaccharides.
Researchers leveraging PubCompare.ai can streamline their ribose-related investigations by identifying the most accurate and reproducible protocols from literature, preprints, and patents.
The advanced AI capabilities of this tool help optimize experimental approaches, enabling researchers to drive their studies forward with confidence and efficiency.
Furthermore, understanding the interactions between ribose and other biomolecules, such as DPPH (2,2-diphenyl-1-picrylhydrazyl) and ascorbic acid (vitamin C), can provide valuable insights into the broader context of ribose's role in biological systems.
By incorporating these related concepts, researchers can gain a more comprehensive understanding of the ribose landscape and its far-reaching implications.