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About This Item
CAS Number:
NACRES:
NA.26
PubChem Substance ID:
UNSPSC Code:
12352202
MDL number:
Quality level:
InChI
1S/C7H8N2.ClH/c8-7(9)6-4-2-1-3-5-6;/h1-5H,(H3,8,9);1H
SMILES string
Cl.NC(=N)c1ccccc1
InChI key
LZCZIHQBSCVGRD-UHFFFAOYSA-N
storage temp.
2-8°C
Quality Level
Storage Class
10 - Combustible liquids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
Eyeshields, Gloves
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Ryan Walsh et al.
Integrative biology : quantitative biosciences from nano to macro, 3(12), 1197-1201 (2011-11-01)
Enzyme inhibitors are usually classified as competitive, non-competitive or mixed non-competitive. Each of these designations has a serious limitation in that it only describes an extreme of inhibitory behaviour. The non-competitive inhibition equation only considers an approach to complete inhibition
Dian Jiao et al.
Journal of computational chemistry, 30(11), 1701-1711 (2009-04-29)
We have calculated the binding free energies of a series of benzamidine-like inhibitors to trypsin with a polarizable force field using both explicit and implicit solvent approaches. Free energy perturbation has been performed for the ligands in bulk water and
N Balasubramanian et al.
Parasite immunology, 32(3), 165-175 (2010-04-20)
A trypsin-like serine protease was purified by gel filtration and anion-exchange chromatography from the excretory-secretory products of parasitic phase Steinernema carpocapsae. The purified protease exhibited a molecular mass of about 29 kDa by SDS-PAGE and displayed a pI of 6.3.
Nikola Loncar et al.
Archives of insect biochemistry and physiology, 74(4), 232-246 (2010-06-16)
Trypsin-like enzyme (TLE) from the anterior midgut of Morimus funereus larvae was purified by anion exchange chromatography and gel filtration chromatography and characterized. Specific TLE activity was increased 322-fold by purification of the crude midgut extract. The purified enzyme had
Janet Newman et al.
Journal of computer-aided molecular design, 26(5), 497-503 (2011-12-22)
Part of the latest SAMPL challenge was to predict how a small fragment library of 500 commercially available compounds would bind to a protein target. In order to assess the modellers' work, a reasonably comprehensive set of data was collected
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