成人免费xx,国产又黄又湿又刺激不卡网站,成人性视频app菠萝网站,色天天天天

Home Cart 0 Sign in  

[ CAS No. 110990-08-4 ] {[proInfo.proName]}

,{[proInfo.pro_purity]}
Cat. No.: {[proInfo.prAm]}
Chemical Structure| 110990-08-4
Chemical Structure| 110990-08-4
Structure of 110990-08-4 * Storage: {[proInfo.prStorage]}

Please Login or Create an Account to: See VIP prices and availability

Cart0 Add to My Favorites Add to My Favorites Bulk Inquiry Inquiry Add To Cart

Search after Editing

* Storage: {[proInfo.prStorage]}

* Shipping: {[proInfo.prShipping]}

Quality Control of [ 110990-08-4 ]

Related Doc. of [ 110990-08-4 ]

Alternatived Products of [ 110990-08-4 ]
Product Citations

Product Citations      Expand+

Andrew J. Borchert ; Alissa C. Bleem ; Hyun Gyu Lim , et al. DOI:

Abstract: There is growing interest in engineering Pseudomonas putida KT2440 as a microbial chassis for the conversion of renewable and waste-based feedstocks, and metabolic engineering of P. putida relies on the understanding of the functional relationships between genes. In this work, independent component analysis (ICA) was applied to a compendium of existing fitness data from randomly barcoded transposon insertion sequencing (RB-TnSeq) of P. putida KT2440 grown in 179 unique experimental conditions. ICA identified 84 independent groups of genes, which we call fModules (“functional modules”), where gene members displayed shared functional influence in a specific cellular process. This machine learning-based approach both successfully recapitulated previously characterized functional relationships and established hitherto unknown associations between genes. Selected gene members from fModules for hydroxycinnamate metabolism and stress resistance, assimilation, and nitrogen metabolism were validated with engineered mutants of P. putida. Additionally, functional gene clusters from ICA of RB-TnSeq data sets were compared with regulatory gene clusters from prior ICA of RNAseq data sets to draw connections between gene regulation and function. Because ICA profiles the functional role of several distinct gene networks simultaneously, it can reduce the time required to annotate gene function relative to manual curation of RB-TnSeq data sets.

Purchased from AmBeed:

Agrawal, Anushka ; Euliano, Erin M ; Pogostin, Brett H , et al. DOI:

Abstract: Introduction Multidomain peptides (MDPs) are amino acid sequences that self-assemble to form supramolecular hydrogels under physiological conditions that have shown promise for a number of biomedical applications. K2(SL)6K2 (“K2”), a widely studied MDP, has demonstrated the ability to enhance the humoral immune response to co-delivered antigen. Herein, we sought to explore the in vitro and in vivo properties of a peptide with the same sequence but opposite chirality (D-K2) since peptides composed of D-amino acids are resistant to protease degradation and potentially more immunostimulatory than their canonical counterparts. Methods K2 and D-K2 hydrogels were characterized and evaluated in vitro using circular dichroism, rheology, cryo-electron microscopy, and fuorescence recovery after photobleaching studies. In vivo experiments in SKH-1 mice were conducted to evaluate both ovalbumin release from the hydrogels and hydrogel degradation. The injection site of the hydrogels was analyzed using histology and humoral immunity was assessed by ELISA. Results In vitro, the enantiomeric hydrogels exhibited similar rheological properties, and fuorescence recovery after pho_x005f_x0002_tobleaching experiments demonstrated that the difusion of ovalbumin (OVA), a model antigen, was similar within both hydrogels. In vivo, K2 and D-K2 peptide hydrogels had similar OVA release rates, both releasing 89% of the antigen within 8 days. Both hydrogels elicited a similar antigen-specifc humoral immune response. However, the in vivo degradation of the D-K2 hydrogel progressed signifcantly slower than K2. After 4 weeks in vivo, only 23±7% of the K2 hydrogel remained at the injection site compared to 94±7% of the D-K2 hydrogel, likely due to their diferent protease susceptibilities. Conclusion Taken together, these data suggest that peptide chirality can be a useful tool for increasing hydrogel residence time for biomedical applications that would beneft from long persistence times and that, if an antigen releases over a suf_x005f_x0002_fciently short period, release can be largely independent of degradation rate, though slower-difusing payloads may exhibit degradation rate dependence.

Keywords: Hydrogel ; Chirality ; Degradation ; Drug delivery ; Peptides ; Adjuvants

Purchased from AmBeed: ; ; ; ;

Product Details of [ 110990-08-4 ]

CAS No. :110990-08-4 MDL No. :MFCD04113545
Formula : C21H24N2O4 Boiling Point : -
Linear Structure Formula :- InChI Key :YRKFMPDOFHQWPI-LJQANCHMSA-N
M.W : 368.43 Pubchem ID :6992519
Synonyms :

Calculated chemistry of [ 110990-08-4 ]      Expand+

Physicochemical Properties

Num. heavy atoms : 27
Num. arom. heavy atoms : 12
Fraction Csp3 : 0.33
Num. rotatable bonds : 10
Num. H-bond acceptors : 5.0
Num. H-bond donors : 3.0
Molar Refractivity : 102.3
TPSA : 101.65 ?2

Pharmacokinetics

GI absorption : High
BBB permeant : No
P-gp substrate : Yes
CYP1A2 inhibitor : No
CYP2C19 inhibitor : No
CYP2C9 inhibitor : No
CYP2D6 inhibitor : Yes
CYP3A4 inhibitor : No
Log Kp (skin permeation) : -8.16 cm/s

Lipophilicity

Log Po/w (iLOGP) : 2.54
Log Po/w (XLOGP3) : 0.54
Log Po/w (WLOGP) : 3.11
Log Po/w (MLOGP) : 2.19
Log Po/w (SILICOS-IT) : 2.89
Consensus Log Po/w : 2.25

Druglikeness

Lipinski : 0.0
Ghose : None
Veber : 0.0
Egan : 0.0
Muegge : 0.0
Bioavailability Score : 0.55

Water Solubility

Log S (ESOL) : -2.13
Solubility : 2.71 mg/ml ; 0.00736 mol/l
Class : Soluble
Log S (Ali) : -2.25
Solubility : 2.09 mg/ml ; 0.00567 mol/l
Class : Soluble
Log S (SILICOS-IT) : -5.73
Solubility : 0.000684 mg/ml ; 0.00000186 mol/l
Class : Moderately soluble

Medicinal Chemistry

PAINS : 0.0 alert
Brenk : 0.0 alert
Leadlikeness : 2.0
Synthetic accessibility : 3.93

Safety of [ 110990-08-4 ]

Signal Word:Warning Class:N/A
Precautionary Statements:P261-P305+P351+P338 UN#:N/A
Hazard Statements:H302-H315-H319-H335 Packing Group:N/A
GHS Pictogram:

Application In Synthesis of [ 110990-08-4 ]

* All experimental methods are cited from the reference, please refer to the original source for details. We do not guarantee the accuracy of the content in the reference.

  • Downstream synthetic route of [ 110990-08-4 ]

[ 110990-08-4 ] Synthesis Path-Downstream   1~2

  • 1
  • [ 110990-08-4 ]
  • [ 133081-26-2 ]
  • C32H37N5O7 [ No CAS ]
  • 2
  • C37H35N4O6Pol [ No CAS ]
  • Fmoc-Tyr(PO(OBzl)OH)-OH [ No CAS ]
  • [ 35661-40-6 ]
  • [ 35661-38-2 ]
  • [ 110990-08-4 ]
  • [ 104091-08-9 ]
  • Fmoc-D-Cys(Trt)-OH [ No CAS ]
  • N-α-[(9H-fluoren-9-ylmethoxy)carbonyl]-NG-(2,2,4,6,7-pentamethyldihydrobenzofuran-5-sulfonyl)-D-arginine [ No CAS ]
  • C72H95N16O18PS [ No CAS ]
Recommend Products
Same Skeleton Products

Technical Information

Historical Records

Related Functional Groups of
[ 110990-08-4 ]

Amino Acid Derivatives

Chemical Structure| 144701-24-6

[ 144701-24-6 ]

Fmoc-D-Nva-OH

Similarity: 1.00

Chemical Structure| 199110-64-0

[ 199110-64-0 ]

Fmoc-Bip(4,4')-OH

Similarity: 1.00

Chemical Structure| 205526-38-1

[ 205526-38-1 ]

Fmoc-D-Bip(4,4’)-OH

Similarity: 1.00

Chemical Structure| 352351-64-5

[ 352351-64-5 ]

(R)-2-((((9H-Fluoren-9-yl)methoxy)carbonyl)amino)-3-(m-tolyl)propanoic acid

Similarity: 1.00

Chemical Structure| 201046-59-5

[ 201046-59-5 ]

(S)-2,5-Bis((((9H-fluoren-9-yl)methoxy)carbonyl)amino)pentanoic acid

Similarity: 1.00

; ;