Natural Product: NPC189880

Natural Product IDNPC189880
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Beta,6Beta-Dihydroxy-24-Noroleana-12,4(23)-Dien-27-Oic Acid
IUPAC Name (4aR,6aR,6aR,6bR,8R,8aR,10S,12aR,14bR)-8,10-dihydroxy-2,2,4a,6b,12a-pentamethyl-9-methylidene-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-6a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL550553
PubChem CID 44236365
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001194] Oxosteroids
          • [CHEMONTID:0003557] 19-oxosteroids

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 LWKBRYTVAGKWHM-SYXCNQSHSA-N
Standard InCHI InChI=1S/C29H44O4/c1-17-20(30)9-10-27(5)22-8-7-18-19-15-25(2,3)11-12-26(19,4)13-14-29(18,24(32)33)28(22,6)16-21(31)23(17)27/h7,19-23,30-31H,1,8-16H2,2-6H3,(H,32,33)/t19-,20-,21+,22+,23+,26+,27+,28+,29+/m0/s1
SMILES C=C1[C@H](CC[C@]2(C)[C@H]3CC=C4[C@@H]5CC(C)(C)CC[C@]5(C)CC[C@@]4(C(=O)O)[C@]3(C)C[C@H]([C@@H]12)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   456.32 Volume:   494.609
?
Van der Waals volume.
Dense:   0.923 LogP:   2.552
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.466
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.831
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   28.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.44 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.102 Fsp3:   0.828
MCE-18:   103.245
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.85 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.359 Promiscuous compounds:   0.132

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.556 MDCK Permeability:   -5.139
Pgp-inhibitor:   0.001 Pgp-substrate:   0.107
PAMPA:   0.999
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.001
20% Bioavailability (F20%):   0.544 30% Bioavailability (F30%):   0.075
50% Bioavailability (F50%):   0.934

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.379 MRP1:   0.913
Plasma Protein Binding (PPB):   96.138% Volume Distribution (VD):   -0.409
Fu: 4.988%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.751 BCRP inhibitor:   0.014
BSEP inhibitor:   0.43

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.004
CYP2C19-inhibitor:   0.921 CYP2C19-substrate:   0.017
CYP2C9-inhibitor:   0.976 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.055 CYP2D6-substrate:   0.03
CYP3A4-inhibitor:   0.011 CYP3A4-substrate:   0.128
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.442
HLM stability:   0.988
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  2.132 Half-life (T1/2):  1.358

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.038
Human Hepatotoxicity (H-HT):  0.563 Drug-induced Liver Injury (DILI):  0.284
AMES Toxicity:  0.4 Rat Oral Acute Toxicity:  0.71
Maximum Recommended Daily Dose:  0.435 Skin Sensitization:  0.994
Carcinogencity:  0.855 Eye Corrosion:  0.023
Eye Irritation:  0.304 Respiratory Toxicity:  0.895
Drug-induced Neurotoxicity:  0.057 Ototoxicity:  0.679
Hematotoxicity:  0.791 Drug-induced Nephrotoxicity:  0.924
Genotoxicity:  0.905 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.702 Hek293 Cytotoxicity:  0.385
BCF:   0.758
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.486
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.231
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.405
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO6947 Astilbe chinensis Species Saxifragaceae Eukaryota rhizomes n.a. n.a. PMID[19585998]
NPO6947 Astilbe chinensis Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6947 Astilbe chinensis Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6947 Astilbe chinensis Species Saxifragaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6947 Astilbe chinensis Species Saxifragaceae 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
NPT116 Cell line HL-60 Homo sapiens IC50 > 10000.0 nM PMID[17512741]
NPT788 Cell line SNU1 Homo sapiens IC50 > 10000.0 nM PMID[10514329]
NPT111 Cell line K562 Homo sapiens IC50 > 10000.0 nM PMID[23394318]
NPT81 Cell line A549 Homo sapiens IC50 > 10000.0 nM PMID[15332862]
NPT65 Cell line HepG2 Homo sapiens IC50 > 10000.0 nM PMID[25856683]

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 NPC189880 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
0.7344 Intermediate Similarity NPC473240
0.7015 Intermediate Similarity NPC476318
0.6667 Remote Similarity NPC17733
0.6667 Remote Similarity NPC470629
0.6377 Remote Similarity NPC126369
0.6377 Remote Similarity NPC470589
0.6377 Remote Similarity NPC111110
0.6338 Remote Similarity NPC260149
0.6286 Remote Similarity NPC209868
0.6029 Remote Similarity NPC71507
0.5797 Remote Similarity NPC199595
0.5694 Remote Similarity NPC1753
0.5571 Remote Similarity NPC251779
0.5479 Remote Similarity NPC470590
0.5479 Remote Similarity NPC285184
0.5132 Remote Similarity NPC476327
0.5132 Remote Similarity NPC195715

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC189880 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