Page last updated: 2024-11-06

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 SourceID
PubMed CID72491
CHEMBL ID3091861
SCHEMBL ID220310
MeSH IDM0174929

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 IDTitleYearJournalArticle
AID1059233Antitubercular activity against Mycobacterium tuberculosis BCG2013European journal of medicinal chemistry, , Volume: 70Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
AID1059234Lipophilicity, log P of the compound2013European journal of medicinal chemistry, , Volume: 70Comparison 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)

TimeframeStudies, This Drug (%)All Drugs %
pre-19901 (16.67)18.7374
1990's0 (0.00)18.2507
2000's1 (16.67)29.6817
2010's3 (50.00)24.3611
2020's1 (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.

MetricThis Compound (vs All)
Research Demand Index22.95 (24.57)
Research Supply Index2.08 (2.92)
Research Growth Index4.45 (4.65)
Search Engine Demand Index21.17 (26.88)
Search Engine Supply Index2.00 (0.95)

This Compound (22.95)

All Compounds (24.57)

Study Types

Publication TypeThis drug (%)All Drugs (%)
Trials0 (0.00%)5.53%
Reviews0 (0.00%)6.00%
Case Studies0 (0.00%)4.05%
Observational0 (0.00%)0.25%
Other7 (100.00%)84.16%
[information is prepared from research data collected from National Library of Medicine (NLM), extracted Dec-2023]