Natural Product: NPC253591

Natural Product IDNPC253591
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.
Dichapetalin K
IUPAC Name n.a.
Synonyms Dichapetalin K
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL502745
PubChem CID 11585309
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 TUJRURFPAUTAHC-OJWYEGDGSA-N
Standard InCHI InChI=1S/C39H50O6/c1-23(20-40)16-27-18-28(34(42)45-27)29-11-15-39-21-38(29,39)14-12-31-35(2)13-10-25-17-30(24-6-8-26(43-5)9-7-24)44-22-36(25,3)32(35)19-33(41)37(31,39)4/h6-10,12,14,16,27-33,40-41H,11,13,15,17-22H2,1-5H3/b23-16+/t27-,28-,29-,30-,31+,32+,33+,35+,36-,37-,38+,39+/m0/s1
SMILES OC/C(=C/[C@@H]1OC(=O)[C@@H](C1)[C@@H]1CC[C@@]23[C@]1(C=C[C@H]1[C@@]3(C)[C@H](O)C[C@@H]3[C@]1(C)CC=C1[C@]3(C)CO[C@@H](C1)c1ccc(cc1)OC)C2)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   614.36 Volume:   648.934
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Van der Waals volume.
Dense:   0.947 LogP:   3.438
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.28
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.103
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   40.0
TPSA:   85.22
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   8.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.283 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.831 Fsp3:   0.667
MCE-18:   184.385
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.929 Fluc inhibitor:   0.009
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
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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:   0.058 Promiscuous compounds:   0.245

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.893 MDCK Permeability:   -4.669
Pgp-inhibitor:   0.674 Pgp-substrate:   0.399
PAMPA:   0.162
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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%):   0.378 30% Bioavailability (F30%):   0.68
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.715
Plasma Protein Binding (PPB):   95.37% Volume Distribution (VD):   0.06
Fu: 3.63%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.984 BCRP inhibitor:   0.72
BSEP inhibitor:   0.962

ADMET: Metabolism

CYP1A2-inhibitor:   0.017 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.932 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.059 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.006 CYP2D6-substrate:   0.046
CYP3A4-inhibitor:   0.997 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.991
HLM stability:   0.193
?
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):  9.15 Half-life (T1/2):  0.831

ADMET: Toxicity

hERG Blockers:  0.084 hERG Blockers (10um):  0.194
Human Hepatotoxicity (H-HT):  0.955 Drug-induced Liver Injury (DILI):  0.998
AMES Toxicity:  0.895 Rat Oral Acute Toxicity:  0.763
Maximum Recommended Daily Dose:  0.957 Skin Sensitization:  0.997
Carcinogencity:  0.894 Eye Corrosion:  0.0
Eye Irritation:  0.068 Respiratory Toxicity:  0.919
Drug-induced Neurotoxicity:  0.895 Ototoxicity:  0.556
Hematotoxicity:  0.7 Drug-induced Nephrotoxicity:  0.969
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.342
A549 Cytotoxicity:  0.973 Hek293 Cytotoxicity:  0.826
BCF:   1.863
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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:   4.208
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.826
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.214
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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
NPO9878 Dichapetalum gelonioides Species Dichapetalaceae Eukaryota stem bark Philippines n.a. PMID[16562829]
NPO9878 Dichapetalum gelonioides Species Dichapetalaceae Eukaryota n.a. n.a. n.a. PMID[24597894]
NPO9878 Dichapetalum gelonioides Species Dichapetalaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9878 Dichapetalum gelonioides Species Dichapetalaceae 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
NPT1034 Cell line Lu1 Homo sapiens ED50 = 1.0 ug ml-1 PubChem BioAssay data set
NPT858 Cell line LNCaP Homo sapiens ED50 = 2.6 ug ml-1 PMID[12617583]
NPT2345 Cell line SW626 Homo sapiens ED50 = 3.0 ug ml-1 DOI[10.6019/CHEMBL1201861]
NPT83 Cell line MCF7 Homo sapiens ED50 = 1.0 ug ml-1 PMID[12565964]
NPT737 Cell line HUVEC Homo sapiens ED50 = 2.2 ug ml-1 PMID[12565964]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1272 Organism Panagrellus redivivus Panagrellus redivivus mortality = 4.4 % PMID[24597894]





 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 NPC253591 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
0.8764 High Similarity NPC243893
0.8065 Intermediate Similarity NPC261659
0.7113 Intermediate Similarity NPC262324
0.7041 Intermediate Similarity NPC601361
0.701 Intermediate Similarity NPC79921
0.6238 Remote Similarity NPC471864
0.61 Remote Similarity NPC608970
0.5676 Remote Similarity NPC600616
0.5524 Remote Similarity NPC609154
0.5285 Remote Similarity NPC471861
0.5161 Remote Similarity NPC471859
0.5159 Remote Similarity NPC471860
0.5133 Remote Similarity NPC471862
0.5044 Remote Similarity NPC600667
0.5044 Remote Similarity NPC609073

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC253591 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