Natural Product: NPC471363

Natural Product IDNPC471363
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Rel-(2S,5R,6R,8S,9S,10R,18S,19R)-19-Acetoxy-18-Ethoxy-18,19-Epoxy-2-(2-Xi-Methylbutanoyloxy)-Cleroda-3,13(16),14-Trien-6-Ol
IUPAC Name [(1R,3S,5S,6aR,7S,8S,10R,10aR)-1-acetyloxy-3-ethoxy-10-hydroxy-7,8-dimethyl-7-(3-methylidenepent-4-enyl)-1,3,5,6,6a,8,9,10-octahydrobenzo[d][2]benzofuran-5-yl] 2-methylbutanoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2419870
PubChem CID 73352259
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001757] Colensane and clerodane diterpenoids

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 TZUIFFFPPPAOBF-MJSHZTPJSA-N
Standard InCHI InChI=1S/C29H44O7/c1-9-17(4)12-13-28(8)19(6)14-24(31)29-22(26(33-11-3)36-27(29)34-20(7)30)15-21(16-23(28)29)35-25(32)18(5)10-2/h9,15,18-19,21,23-24,26-27,31H,1,4,10-14,16H2,2-3,5-8H3/t18?,19-,21+,23+,24+,26-,27-,28-,29-/m0/s1
SMILES CCO[C@H]1O[C@@H]([C@]23C1=C[C@@H](OC(=O)C(CC)C)C[C@@H]3[C@@]([C@H](C[C@H]2O)C)(C)CCC(=C)C=C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   504.31 Volume:   532.82
?
Van der Waals volume.
Dense:   0.946 LogP:   3.71
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.405
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.449
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   19.0
TPSA:   91.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.252 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.852 Fsp3:   0.724
MCE-18:   88.4
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.751 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:   0.019
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.266 Promiscuous compounds:   0.398

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.219 MDCK Permeability:   -4.823
Pgp-inhibitor:   0.817 Pgp-substrate:   0.052
PAMPA:   0.038
?
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%):   0.978 30% Bioavailability (F30%):   0.984
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.956 MRP1:   0.997
Plasma Protein Binding (PPB):   77.06% Volume Distribution (VD):   -0.094
Fu: 16.507%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.912
OATP1B3 inhibitor:   0.753 BCRP inhibitor:   0.579
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.74
CYP2C19-inhibitor:   0.538 CYP2C19-substrate:   0.701
CYP2C9-inhibitor:   0.117 CYP2C9-substrate:   0.021
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.899
CYP3A4-inhibitor:   0.029 CYP3A4-substrate:   0.708
CYP2B6-substrate:   0.005 CYP2C8-inhibitor:   0.999
HLM stability:   0.999
?
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):  9.862 Half-life (T1/2):  1.163

ADMET: Toxicity

hERG Blockers:  0.158 hERG Blockers (10um):  0.572
Human Hepatotoxicity (H-HT):  0.409 Drug-induced Liver Injury (DILI):  0.828
AMES Toxicity:  0.924 Rat Oral Acute Toxicity:  0.899
Maximum Recommended Daily Dose:  0.963 Skin Sensitization:  0.996
Carcinogencity:  0.686 Eye Corrosion:  0.001
Eye Irritation:  0.082 Respiratory Toxicity:  0.892
Drug-induced Neurotoxicity:  0.9 Ototoxicity:  0.482
Hematotoxicity:  0.619 Drug-induced Nephrotoxicity:  0.811
Genotoxicity:  0.849 RPMI-8226 Immunitoxicity:  0.283
A549 Cytotoxicity:  0.895 Hek293 Cytotoxicity:  0.684
BCF:   0.941
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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:   3.789
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.47
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.839
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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
NPO32459 casearia balansae Species Salicaceae Eukaryota leaves and twigs n.a. n.a. PMID[24033131]
NPO32459 casearia balansae Species Salicaceae Eukaryota twigs n.a. n.a. PMID[25286284]
NPO32459 casearia balansae Species Salicaceae Eukaryota Leaves n.a. n.a. PMID[26699618]
NPO32459 casearia balansae Species Salicaceae Eukaryota 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
NPT1374 Cell line WI-38 Homo sapiens IC50 = 60200.0 nM PMID[12444684]
NPT81 Cell line A549 Homo sapiens IC50 = 49800.0 nM PMID[25237727]
NPT146 Cell line SK-OV-3 Homo sapiens IC50 = 15300.0 nM DrugMatrix in vivo data: Biochemistry
NPT90 Cell line DU-145 Homo sapiens IC50 = 14800.0 nM PMID[15920768]
NPT306 Cell line PC-3 Homo sapiens IC50 = 46900.0 nM PMID[11858756]

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 NPC471363 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
0.9032 High Similarity NPC475889
0.9032 High Similarity NPC7613
0.9032 High Similarity NPC479942
0.9032 High Similarity NPC238397
0.8485 Intermediate Similarity NPC127933
0.7969 Intermediate Similarity NPC479943
0.7727 Intermediate Similarity NPC479940
0.7727 Intermediate Similarity NPC7644
0.75 Intermediate Similarity NPC479941
0.7101 Intermediate Similarity NPC330003
0.7101 Intermediate Similarity NPC470321
0.7101 Intermediate Similarity NPC264867
0.7101 Intermediate Similarity NPC488658
0.7101 Intermediate Similarity NPC473207
0.7101 Intermediate Similarity NPC488655
0.6753 Remote Similarity NPC486751
0.6575 Remote Similarity NPC125423
0.6494 Remote Similarity NPC87630
0.6494 Remote Similarity NPC179128
0.6486 Remote Similarity NPC40728
0.6479 Remote Similarity NPC488660
0.6479 Remote Similarity NPC488657
0.6479 Remote Similarity NPC329623
0.6286 Remote Similarity NPC488659
0.6286 Remote Similarity NPC602188
0.6286 Remote Similarity NPC604149
0.6176 Remote Similarity NPC89171
0.6164 Remote Similarity NPC88013
0.6027 Remote Similarity NPC201880
0.6027 Remote Similarity NPC134270
0.6027 Remote Similarity NPC479497
0.6027 Remote Similarity NPC81567
0.6027 Remote Similarity NPC488652
0.6027 Remote Similarity NPC488654
0.6027 Remote Similarity NPC609711
0.6027 Remote Similarity NPC609880
0.5972 Remote Similarity NPC472188
0.5972 Remote Similarity NPC488656
0.5972 Remote Similarity NPC488236
0.5972 Remote Similarity NPC479937
0.5946 Remote Similarity NPC217921
0.5946 Remote Similarity NPC135015
0.5946 Remote Similarity NPC609715
0.589 Remote Similarity NPC471366
0.589 Remote Similarity NPC476800
0.589 Remote Similarity NPC488237
0.5833 Remote Similarity NPC471362
0.5833 Remote Similarity NPC471372
0.5811 Remote Similarity NPC128795
0.5789 Remote Similarity NPC488964
0.5789 Remote Similarity NPC184512
0.5789 Remote Similarity NPC252296
0.5733 Remote Similarity NPC473545
0.56 Remote Similarity NPC479491
0.5584 Remote Similarity NPC472187
0.5541 Remote Similarity NPC488653
0.5405 Remote Similarity NPC479939
0.5342 Remote Similarity NPC481018
0.527 Remote Similarity NPC479934
0.5256 Remote Similarity NPC488963
0.5205 Remote Similarity NPC472189
0.5176 Remote Similarity NPC109376
0.5172 Remote Similarity NPC224660
0.5139 Remote Similarity NPC476802
0.5135 Remote Similarity NPC171598
0.5119 Remote Similarity NPC116292
0.5067 Remote Similarity NPC481020
0.5063 Remote Similarity NPC48548

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471363 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