Page last updated: 2024-12-06
succinic dihydrazide
Description
Research Excerpts
Clinical Trials
Roles
Classes
Pathways
Study Profile
Bioassays
Related Drugs
Related Conditions
Protein Interactions
Research Growth
Market Indicators
Description
succinic dihydrazide: structure given in first source [Medical Subject Headings (MeSH), National Library of Medicine, extracted Dec-2023]
Cross-References
ID Source | ID |
---|---|
PubMed CID | 72491 |
CHEMBL ID | 3091861 |
SCHEMBL ID | 220310 |
MeSH ID | M0174929 |
Synonyms (56)
Synonym |
---|
BB 0240688 |
butanedioyl dihydrazide |
succinic acid dihydrazide |
nsc42940 |
nsc-42940 |
nsc-29540 |
nsc29540 |
succinyl dihydrazide |
4146-43-4 |
succinic dihydrazide |
nsc25180 |
succinic acid hydrazide |
succinic acid, dihydrazide |
succinhydrazide |
nsc-25180 |
butanedioic acid, dihydrazide |
butanedihydrazide |
succinohydrazide |
succinic hydrazicle |
succinic dihydrazide, 96% |
nsc 29540 |
brn 1775110 |
nsc 42940 |
nsc 25180 |
succinoyldihydrazine |
einecs 223-970-9 |
STK022351 |
AKOS000267173 |
inchi=1/c4h10n4o2/c5-7-3(9)1-2-4(10)8-6/h1-2,5-6h2,(h,7,9)(h,8,10) |
hcomfayphbfmku-uhfffaoysa- |
butanediohydrazide |
S0482 |
A825564 |
butanedioic acid dihydrazide |
unii-h3wmy7s4lo |
4-02-00-01925 (beilstein handbook reference) |
h3wmy7s4lo , |
FT-0635154 |
CHEMBL3091861 |
SCHEMBL220310 |
BBL035998 |
succinohydrazide # |
HCOMFAYPHBFMKU-UHFFFAOYSA-N |
c4h10n4o2 |
F1943-0022 |
DTXSID10194363 |
mfcd00007613 |
succinic acid dihydrazone |
butanedioic acid, 1,4-dihydrazide |
sudh |
succinic acid, hydrazide |
AMY3980 |
AS-56728 |
CS-0149895 |
succinic dihydrazide;butanedioyl dihydrazide |
E81949 |
[information is derived through text-mining from research data collected from National Library of Medicine (NLM), extracted Dec-2023]
Bioassays (2)
Assay ID | Title | Year | Journal | Article |
---|---|---|---|---|
AID1059233 | Antitubercular activity against Mycobacterium tuberculosis BCG | 2013 | European journal of medicinal chemistry, , Volume: 70 | Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds. |
AID1059234 | Lipophilicity, log P of the compound | 2013 | European journal of medicinal chemistry, , Volume: 70 | Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds. |
[information is prepared from bioassay data collected from National Library of Medicine (NLM), extracted Dec-2023] |
Research
Studies (6)
Timeframe | Studies, This Drug (%) | All Drugs % |
---|---|---|
pre-1990 | 1 (16.67) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 1 (16.67) | 29.6817 |
2010's | 3 (50.00) | 24.3611 |
2020's | 1 (16.67) | 2.80 |
[information is prepared from research data collected from National Library of Medicine (NLM), extracted Dec-2023] |
Market Indicators
Research Demand Index: 22.95
According to the monthly volume, diversity, and competition of internet searches for this compound, as well the volume and growth of publications, there is estimated to be moderate demand-to-supply ratio for research on this compound.
| This Compound (22.95) All Compounds (24.57) |
Study Types
Publication Type | This drug (%) | All Drugs (%) |
---|---|---|
Trials | 0 (0.00%) | 5.53% |
Reviews | 0 (0.00%) | 6.00% |
Case Studies | 0 (0.00%) | 4.05% |
Observational | 0 (0.00%) | 0.25% |
Other | 7 (100.00%) | 84.16% |
[information is prepared from research data collected from National Library of Medicine (NLM), extracted Dec-2023] |