K 41
* Please be kindly noted products are not for therapeutic use. We do not sell to patients.
| Category | Antibiotics |
| Catalog number | BBF-03598 |
| CAS | 53026-37-2 |
| Molecular Weight | 947.15 |
| Molecular Formula | C48H82O18 |
Online Inquiry
Description
K 41 is originally isolated from Streptomyces hygroscopicus K-41 with anti-gram-positive bacteria activity.
Specification
| Synonyms | (29S)-9,13:17,20:21,24-trianhydro-4,8,10,12,14,18,19,22,23,26,28,30-dodecadeoxy-4,12,14,26,28-pentamethyl-6,16-di-C-methyl-5,6,11,15-tetra-O-methyl-27-O-[(2R,5S,6R)-tetrahydro-5-methoxy-6-methyl-2H-pyran-2-yl]-L-xylo-L-manno-α-D-gluco-L-ribo-α-L-gluco-D-glycero-3,13,29-triacontotriulo-13,16-furanose-3,7:29,25-dipyranosonic acid |
| Storage | Store at -20°C |
| IUPAC Name | 2-hydroxy-2-[(2R,3R,4R,5R,6R)-2-hydroxy-6-[[(2S,5R,6R,7R,9S)-2-[5-[5-[6-hydroxy-4-(5-methoxy-6-methyloxan-2-yl)oxy-3,5,6-trimethyloxan-2-yl]oxolan-2-yl]oxolan-2-yl]-3,7-dimethoxy-2,4,6-trimethyl-1,10-dioxaspiro[4.5]decan-9-yl]methyl]-4,5-dimethoxy-3,5-dimethyloxan-2-yl]acetic acid |
| Canonical SMILES | CC1C(OC(C(C1OC2CCC(C(O2)C)OC)C)(C)O)C3CCC(O3)C4CCC(O4)C5(C(C(C6(O5)C(C(CC(O6)CC7C(C(C(C(O7)(C(C(=O)O)O)O)C)OC)(C)OC)OC)C)C)OC)C |
| InChI | InChI=1S/C48H82O18/c1-23-38(62-37-20-18-30(54-10)28(6)59-37)25(3)46(9,52)65-39(23)33-16-15-31(60-33)32-17-19-35(61-32)45(8)42(57-13)27(5)48(66-45)24(2)34(55-11)21-29(63-48)22-36-44(7,58-14)41(56-12)26(4)47(53,64-36)40(49)43(50)51/h23-42,49,52-53H,15-22H2,1-14H3,(H,50,51)/t23?,24-,25?,26-,27?,28?,29+,30?,31?,32?,33?,34-,35?,36-,37?,38?,39?,40?,41-,42?,44-,45+,46?,47-,48-/m1/s1 |
| InChI Key | QFHLVPYVNFSTBE-YUJCGUFPSA-N |
Properties
| Appearance | Colorless Prismatic Crystal |
| Antibiotic Activity Spectrum | Gram-positive bacteria |
| Boiling Point | 913.8°C at 760 mmHg |
| Melting Point | 196-198°C |
| Density | 1.25 g/cm3 |
| Solubility | Soluble in DMSO, Dichloromethane |
Reference Reading
1. Binary classification threatens the validity of cognitive impairment detection
Maryse J Luijendijk, Heleen E M Feenstra, Ivar E Vermeulen, Jaap M J Murre, Sanne B Schagen Neuropsychology. 2022 Jul 4. doi: 10.1037/neu0000831. Online ahead of print.
Objective: Neuropsychological literature reports varying prevalence of cognitive impairment within patient populations, despite assessment with standardized neuropsychological tests. Within the domain of oncology, the International Cognition and Cancer Task Force (ICCTF) proposed standard cutoff points to harmonize the operationalization of cognitive impairment. We evaluated how this binary classification affects agreement between two highly comparable test batteries. Method: Two hundred non-central nervous system (non-CNS) cancer patients who finished treatment (56% females; median age 53 yrs) completed traditional tests and their online equivalents in a counterbalanced design. Following ICCTF standards, impairment was defined as a score of ≥ 1.5 standard deviations (SDs) below normative means on two tests and/or ≥ 2 SDs below normative means on one test. Agreement of classification between traditional and online assessment was evaluated using Cohen's κ. Additional Monte Carlo simulations were conducted to demonstrate how different cutoff points and test characteristics affect agreement. Results: The correlation between total scores of traditional and online assessment was .78. Proportions of impaired patients did not differ between assessment methods: 40% using traditional tests and 38% using online equivalents, χ²(1) = .17, p < .68. Nevertheless, within-person agreement in impairment classification between traditional and online assessment was merely fair (K = .35). Monte Carlo simulations showed similarly low agreement scores (K = .41 for 1.5 SD; K = .33 for 2 SD criterion). Conclusions: Our results show that binary classification can lead to a situation where two highly similar batteries fail to identify the same individuals as impaired. Additional simulations suggest that within-person agreement between assessment methods using binary classification is inherently low. Modern statistical tools may help to improve validity of impairment detection. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
2. Self-enhancement and physical health: A meta-analysis
Constantine Sedikides Br J Soc Psychol. 2023 Jan;62(1):583-599. doi: 10.1111/bjso.12577. Epub 2022 Sep 6.
A prior meta-analysis yielded a positive relation between self-enhancement and psychological health. This article presents the first meta-analysis of the association between self-enhancement and physical health (k = 87; N = 22,415). The meta-analysis relied predominantly on social desirability as an operationalization of self-enhancement and secondarily on comparative judgement and narcissism. Further, the meta-analysis operationalized physical health in terms of self-rated health, symptoms and biomarkers. Overall, self-enhancement yielded a near-zero association with physical health, r = .01. However, this association was more pronounced for comparative judgement (r = .18, k = 6) than social desirability (r = .03, k = 41) or narcissism (r = -.0001, k = 8), and for self-rated health (r = .09, k = 9) than symptoms (r = .01, k = 29) or biomarkers (r = -.13, k = 17). The association between self-enhancement and physical health fluctuates across measures of both constructs calling for more focussed and nuanced investigations.
3. On the Inertial Range Bounds of K-41-like Magnetohydrodynamics Turbulence
Tesfalem Abate Tegegn Entropy (Basel). 2022 Jun 16;24(6):833. doi: 10.3390/e24060833.
The spectral slope of magnetohydrodynamic (MHD) turbulence varies depending on the spectral theory considered; -3/2 is the spectral slope in Kraichnan-Iroshnikov-Dobrowolny (KID) theory, -5/3 in Marsch-Matthaeus-Zhou and Goldreich-Sridhar theories, also called Kolmogorov-like (K-41-like) MHD theory, the combination of the -5/3 and -3/2 scales in Biskamp, and so on. A rigorous mathematical proof to any of these spectral theories is of great scientific interest. Motivated by the 2012 work of A. Biryuk and W. Craig (Physica D 241(2012) 426-438), we establish inertial range bounds for K-41-like phenomenon in MHD turbulent flow through a mathematical rigor; a range of wave numbers in which the spectral slope of MHD turbulence is proportional to -5/3 is established and the upper and lower bounds of this range are explicitly formulated. We also have shown that the Leray weak solution of the standard MHD model is bonded in the Fourier space, the spectral energy of the system is bounded and its average over time decreases in time.
Recommended Products
| BBF-03755 | Actinomycin D | Inquiry |
| BBF-05862 | Epirubicin | Inquiry |
| BBF-01693 | Doxorubicin EP Impurity A (Daunorubicin) | Inquiry |
| BBF-02642 | Lactonamycin | Inquiry |
| BBF-00677 | 3-Amino-3-deoxy-D-glucose | Inquiry |
| BBF-01826 | Deoxymannojirimycin | Inquiry |
Bio Calculators
* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳
