Natural Product: NPC233012

Natural Product IDNPC233012
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3 Beta-Acetyl Tormentic Acid
IUPAC Name (1R,2R,4aS,6aR,6aS,6bR,8aR,10R,11R,12aR,14bS)-10-acetyloxy-1,11-dihydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms 3 Beta-Acetyl Tormentic Acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL239296
PubChem CID 44436804
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey HWGMGZJITMCAFQ-BGJCYSRJSA-N
Standard InCHI InChI=1S/C32H50O6/c1-18-11-14-32(26(35)36)16-15-29(6)20(24(32)31(18,8)37)9-10-23-28(5)17-21(34)25(38-19(2)33)27(3,4)22(28)12-13-30(23,29)7/h9,18,21-25,34,37H,10-17H2,1-8H3,(H,35,36)/t18-,21-,22+,23-,24-,25+,28+,29-,30-,31-,32+/m1/s1
SMILES CC(=O)O[C@H]1[C@H](O)C[C@]2([C@H](C1(C)C)CC[C@@]1([C@@H]2CC=C2[C@@]1(C)CC[C@@]1([C@H]2[C@](C)(O)[C@H](C)CC1)C(=O)O)C)C

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO20072 Verbascum dudleyanum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5696 Premna fulva Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6660 Cecropia lyratiloba Species Urticaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1029 Vernonia jalcana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT111 Cell line K562 Homo sapiens IC50 = 56610.0 nM PMID[17889544]
NPT1215 Cell line 8505C Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT179 Cell line A2780 Homo sapiens IC50 = 28100.0 nM PMID[22995818]
NPT81 Cell line A549 Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT579 Cell line DLD-1 Homo sapiens IC50 > 30000.0 nM PMID[22995818]
NPT83 Cell line MCF7 Homo sapiens IC50 = 26200.0 nM PMID[22995818]
NPT886 Cell line NIH3T3 Mus musculus IC50 > 30000.0 nM PMID[22995818]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 72870.0 nM PMID[17889544]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 30000.0 nM PMID[22995818]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC233012 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.7671 Intermediate Similarity NPC230151
0.75 Intermediate Similarity NPC25491
0.7333 Intermediate Similarity NPC54909
0.7326 Intermediate Similarity NPC482051
0.7105 Intermediate Similarity NPC327179
0.6923 Remote Similarity NPC481234
0.6923 Remote Similarity NPC479431
0.6892 Remote Similarity NPC62516
0.6849 Remote Similarity NPC259733
0.6849 Remote Similarity NPC158371
0.6849 Remote Similarity NPC207922
0.6849 Remote Similarity NPC202728
0.6849 Remote Similarity NPC158059
0.6757 Remote Similarity NPC247139
0.6667 Remote Similarity NPC148964
0.6622 Remote Similarity NPC136697
0.6579 Remote Similarity NPC187933
0.6579 Remote Similarity NPC157113
0.6533 Remote Similarity NPC191412
0.6533 Remote Similarity NPC114159
0.6533 Remote Similarity NPC132824
0.6533 Remote Similarity NPC6818
0.641 Remote Similarity NPC603658
0.6316 Remote Similarity NPC35239
0.625 Remote Similarity NPC96693
0.6234 Remote Similarity NPC118964
0.6184 Remote Similarity NPC256247
0.6154 Remote Similarity NPC147232
0.6154 Remote Similarity NPC284865
0.6053 Remote Similarity NPC235053
0.6044 Remote Similarity NPC482052
0.5978 Remote Similarity NPC304110
0.5978 Remote Similarity NPC27518
0.5978 Remote Similarity NPC611516
0.5897 Remote Similarity NPC118519
0.5889 Remote Similarity NPC171007
0.5889 Remote Similarity NPC190849
0.587 Remote Similarity NPC605663
0.5833 Remote Similarity NPC600756
0.5823 Remote Similarity NPC137072
0.56 Remote Similarity NPC481235
0.5579 Remote Similarity NPC482049
0.5579 Remote Similarity NPC482050
0.557 Remote Similarity NPC120840
0.5556 Remote Similarity NPC118033
0.55 Remote Similarity NPC485589
0.5455 Remote Similarity NPC601567
0.5455 Remote Similarity NPC606631
0.5417 Remote Similarity NPC178093
0.5306 Remote Similarity NPC479745
0.5238 Remote Similarity NPC485586
0.5238 Remote Similarity NPC485588
0.5204 Remote Similarity NPC324798
0.5204 Remote Similarity NPC479742
0.5181 Remote Similarity NPC296164
0.5158 Remote Similarity NPC127853
0.5122 Remote Similarity NPC9613
0.5062 Remote Similarity NPC173744
0.5062 Remote Similarity NPC88116
0.5062 Remote Similarity NPC204961
0.5062 Remote Similarity NPC73004
0.5062 Remote Similarity NPC71074
0.5062 Remote Similarity NPC37221
0.5062 Remote Similarity NPC110308
0.5062 Remote Similarity NPC605937
0.506 Remote Similarity NPC25299
0.506 Remote Similarity NPC481322

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC233012 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data