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A9502

Sigma-Aldrich

Ala-Ala

Synonym(s):

L-Alanyl-L-alanine

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About This Item

Linear Formula:
CH3CH(NH2)CONHCH(CH3)CO2H
CAS Number:
Molecular Weight:
160.17
Beilstein/REAXYS Number:
1724813
EC Number:
MDL number:
UNSPSC Code:
12352209
PubChem Substance ID:
NACRES:
NA.26

assay

≥98% (TLC)

form

powder

color

white

mp

280-285 °C (lit.)

SMILES string

C[C@H](N)C(=O)N[C@@H](C)C(O)=O

InChI

1S/C6H12N2O3/c1-3(7)5(9)8-4(2)6(10)11/h3-4H,7H2,1-2H3,(H,8,9)(H,10,11)/t3-,4-/m0/s1

InChI key

DEFJQIDDEAULHB-IMJSIDKUSA-N

Gene Information

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Related Categories

Application

Ala-Ala has been used as a peptide sample for chromatographic analysis.

Biochem/physiol Actions

L-Alanyl-L-alanine is used as a model dipeptide in physicochemical studies of processes such as the effects of pH (protonation) on conformation.

Storage Class

11 - Combustible Solids

wgk_germany

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable


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Jirí Sebek et al.
The journal of physical chemistry. A, 113(27), 7760-7768 (2009-06-17)
Fine effects of the hydration, charge, and conformational structural changes in L-alanyl-L-alanine (Ala-Ala) dipeptide were studied with the aid of Raman and Raman optical activity (ROA) spectra. The spectra were recorded experimentally and analyzed by means of density functional computations.
Determination of theoretical retention times for peptides analyzed by reversed-phase high-performance liquid chromatography.
Dziuba J, et al.
Acta Scientiarum Polonorum. Technologia Alimentaria, 10(2) (2011)
Ladislav Benda et al.
The journal of physical chemistry. B, 113(15), 5273-5281 (2009-03-24)
The dependence of the effective chemical shielding anisotropy (effective CSA, Deltasigma(eff)) on the phi and psi peptide backbone torsion angles was calculated in the l-alanyl-l-alanine (LALA) peptide using the DFT method. The effects of backbone conformation, molecular charge including the
Vladimír Sychrovský et al.
The journal of physical chemistry. B, 112(6), 1796-1805 (2008-01-04)
The l-alanyl-l-alanine (AA) molecule behaves differently in acidic, neutral, and basic environments. Because of its molecular flexibility and strong interaction with the aqueous environment, its behavior has to be deduced from the NMR spectra indirectly, using statistical methods and comparison
Xiongwu Wu et al.
The Journal of chemical physics, 134(13), 134108-134108 (2011-04-12)
This work derives a quantitative description of the conformational distribution in self-guided Langevin dynamics (SGLD) simulations. SGLD simulations employ guiding forces calculated from local average momentums to enhance low-frequency motion. This enhancement in low-frequency motion dramatically accelerates conformational search efficiency

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