Natural Product: NPC95899

Natural Product IDNPC95899
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Flabelliferin B
IUPAC Name [(4aS,4bR,6S,6aR,9S,10aS,10bR,12aS)-8-acetyl-9-hydroxy-1,1,4a,6a,10b-pentamethyl-2,3,4,4b,5,6,9,10,10a,11,12,12a-dodecahydrochrysen-6-yl] acetate
Synonyms Flabelliferin B
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2087231
PubChem CID 66554038
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0001093] Carboxylic acid derivatives
          • [CHEMONTID:0001238] Carboxylic acid esters

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 JBPWKIMADBDSID-QGERINELSA-N
Standard InCHI InChI=1S/C27H42O4/c1-16(28)18-15-27(7)21(13-19(18)30)26(6)12-9-20-24(3,4)10-8-11-25(20,5)22(26)14-23(27)31-17(2)29/h15,19-23,30H,8-14H2,1-7H3/t19-,20-,21-,22+,23-,25-,26-,27+/m0/s1
SMILES CC(=O)O[C@H]1C[C@H]2[C@@]([C@H]3[C@@]1(C)C=C(C(=O)C)[C@H](C3)O)(C)CC[C@@H]1[C@]2(C)CCCC1(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   430.31 Volume:   468.574
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Van der Waals volume.
Dense:   0.918 LogP:   3.647
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.567
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.367
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   23.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.59 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.856 Fsp3:   0.852
MCE-18:   84.48
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.65 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:   0.005
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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:   0.309 Promiscuous compounds:   0.441

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.015 MDCK Permeability:   -4.747
Pgp-inhibitor:   0.993 Pgp-substrate:   0.001
PAMPA:   0.129
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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%):   0.087 30% Bioavailability (F30%):   0.196
50% Bioavailability (F50%):   0.886

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.017 MRP1:   0.753
Plasma Protein Binding (PPB):   95.963% Volume Distribution (VD):   -0.113
Fu: 5.55%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.096
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.062 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.664 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.957
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.182
HLM stability:   0.007
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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):  8.347 Half-life (T1/2):  0.643

ADMET: Toxicity

hERG Blockers:  0.086 hERG Blockers (10um):  0.273
Human Hepatotoxicity (H-HT):  0.482 Drug-induced Liver Injury (DILI):  0.499
AMES Toxicity:  0.484 Rat Oral Acute Toxicity:  0.701
Maximum Recommended Daily Dose:  0.908 Skin Sensitization:  0.949
Carcinogencity:  0.902 Eye Corrosion:  0.022
Eye Irritation:  0.717 Respiratory Toxicity:  0.921
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.378
Hematotoxicity:  0.637 Drug-induced Nephrotoxicity:  0.939
Genotoxicity:  0.708 RPMI-8226 Immunitoxicity:  0.093
A549 Cytotoxicity:  0.533 Hek293 Cytotoxicity:  0.434
BCF:   2.161
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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:   4.789
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.196
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.856
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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
NPO6368 Carteriospongia flabellifera Species Thorectidae Eukaryota n.a. South Pacific n.a. PMID[22834941]
NPO6368 Carteriospongia flabellifera Species Thorectidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6368 Carteriospongia flabellifera Species Thorectidae 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
NPT386 Cell line KM12 Homo sapiens IC50 < 10000.0 nM PMID[10869203]
NPT407 Cell line COLO 205 Homo sapiens IC50 < 10000.0 nM PMID[10869203]
NPT386 Cell line KM12 Homo sapiens IC50 = 18000.0 nM PMID[10869203]
NPT407 Cell line COLO 205 Homo sapiens IC50 = 20000.0 nM PMID[16137881]

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 NPC95899 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
0.7759 Intermediate Similarity NPC489145
0.75 Intermediate Similarity NPC489146
0.7458 Intermediate Similarity NPC489144
0.7213 Intermediate Similarity NPC489000
0.7143 Intermediate Similarity NPC489148
0.7143 Intermediate Similarity NPC489147
0.7097 Intermediate Similarity NPC488999
0.6721 Remote Similarity NPC325229
0.6032 Remote Similarity NPC608115
0.6032 Remote Similarity NPC611248
0.6 Remote Similarity NPC83242
0.5938 Remote Similarity NPC606805
0.5938 Remote Similarity NPC607360
0.5902 Remote Similarity NPC219535
0.5714 Remote Similarity NPC131104
0.5645 Remote Similarity NPC602574
0.5556 Remote Similarity NPC601034
0.5312 Remote Similarity NPC269729
0.5312 Remote Similarity NPC606340
0.5303 Remote Similarity NPC208912
0.5303 Remote Similarity NPC194951
0.5231 Remote Similarity NPC275086
0.5224 Remote Similarity NPC51499
0.5156 Remote Similarity NPC328141
0.5072 Remote Similarity NPC474253
0.5072 Remote Similarity NPC228251
0.5072 Remote Similarity NPC474346
0.5072 Remote Similarity NPC477972

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC95899 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