Natural Product: NPC470614

Natural Product IDNPC470614
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.
(3S,8S,9S,10R,13S,14S,16S,17R)-17-[(2S,3R,6R)-3,7-Dihydroxy-6-Methylheptan-2-Yl]-10,13-Dimethyl-2,3,4,7,8,9,11,12,14,15,16,17-Dodecahydro-1H-Cyclopenta[A]Phenanthrene-3,16-Diol
IUPAC Name (3S,8S,9S,10R,13S,14S,16S,17R)-17-[(2S,3R,6R)-3,7-dihydroxy-6-methylheptan-2-yl]-10,13-dimethyl-2,3,4,7,8,9,11,12,14,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthrene-3,16-diol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2088132
PubChem CID 70691175
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001445] Bile acids, alcohols and derivatives
          • [CHEMONTID:0002194] Hydroxy bile acids, alcohols and derivatives
            • [CHEMONTID:0001110] Tetrahydroxy bile acids, alcohols and derivatives

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 HJMSZKKOQIZOLJ-WBHRXQROSA-N
Standard InCHI InChI=1S/C27H46O4/c1-16(15-28)5-8-23(30)17(2)25-24(31)14-22-20-7-6-18-13-19(29)9-11-26(18,3)21(20)10-12-27(22,25)4/h6,16-17,19-25,28-31H,5,7-15H2,1-4H3/t16-,17-,19+,20-,21+,22+,23-,24+,25+,26+,27+/m1/s1
SMILES CC(CCC(C(C)C1C(CC2C1(CCC3C2CC=C4C3(CCC(C4)O)C)C)O)O)CO

  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
NPO33234 chamaellirium luteum Species n.a. n.a. roots sourced from Botanical Liaisons Ltd. (USA) and Blessed Herbs Ltd. (USA) n.a. PMID[22880631]
NPO33234 chamaellirium luteum Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]

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
NPT1523 Cell line NFF Homo sapiens IC50 > 50.0 ug.mL-1 PMID[23350733]
NPT165 Cell line HeLa Homo sapiens IC50 > 50.0 ug.mL-1 PMID[11549443]
NPT139 Cell line HT-29 Homo sapiens IC50 > 50.0 ug.mL-1 PMID[1602299]
NPT83 Cell line MCF7 Homo sapiens IC50 > 50.0 ug.mL-1 DOI[10.6019/CHEMBL1201861]
NPT1524 Cell line MM96L Homo sapiens IC50 > 50.0 ug.mL-1 PMID[12617583]
NPT111 Cell line K562 Homo sapiens IC50 > 50.0 ug.mL-1 PMID[19124664]

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 NPC470614 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
1.0 High Similarity NPC1272
0.8 Intermediate Similarity NPC124172
0.678 Remote Similarity NPC477522
0.6607 Remote Similarity NPC600590
0.6491 Remote Similarity NPC328313
0.6441 Remote Similarity NPC321381
0.625 Remote Similarity NPC176012
0.6034 Remote Similarity NPC107059
0.5862 Remote Similarity NPC162742
0.5862 Remote Similarity NPC304309
0.5862 Remote Similarity NPC470228
0.5763 Remote Similarity NPC22105
0.5763 Remote Similarity NPC221758
0.5763 Remote Similarity NPC34019
0.5738 Remote Similarity NPC51014
0.5714 Remote Similarity NPC96319
0.5667 Remote Similarity NPC136188
0.5667 Remote Similarity NPC28657
0.5667 Remote Similarity NPC474216
0.5667 Remote Similarity NPC154330
0.5574 Remote Similarity NPC230301
0.5574 Remote Similarity NPC113733
0.5574 Remote Similarity NPC198968
0.5574 Remote Similarity NPC285893
0.5574 Remote Similarity NPC134847
0.5484 Remote Similarity NPC241290
0.5484 Remote Similarity NPC164840
0.5484 Remote Similarity NPC484739
0.5484 Remote Similarity NPC209944
0.5484 Remote Similarity NPC264245
0.5484 Remote Similarity NPC155986
0.541 Remote Similarity NPC20688
0.5397 Remote Similarity NPC328714
0.5323 Remote Similarity NPC76879
0.5312 Remote Similarity NPC472265
0.5312 Remote Similarity NPC318495
0.5312 Remote Similarity NPC33913
0.5312 Remote Similarity NPC59453
0.5303 Remote Similarity NPC47761
0.5246 Remote Similarity NPC151519
0.5231 Remote Similarity NPC26117
0.5231 Remote Similarity NPC19607
0.5231 Remote Similarity NPC603646
0.5152 Remote Similarity NPC243985
0.5152 Remote Similarity NPC473943
0.5152 Remote Similarity NPC280710
0.5152 Remote Similarity NPC240650
0.5152 Remote Similarity NPC155011
0.5075 Remote Similarity NPC474164
0.5075 Remote Similarity NPC488870
0.5072 Remote Similarity NPC601043
0.5072 Remote Similarity NPC605412

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC470614 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
0.5763 Remote Similarity NPD4786 Phase 1
0.5714 Remote Similarity NPD3701 Pre-clinical
0.5667 Remote Similarity NPD6942 Phase 4
0.5574 Remote Similarity NPD7339 Approved
0.5246 Remote Similarity NPD3667 Phase 4

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