Natural Product: NPC471861

Natural Product IDNPC471861
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NCDMXKSFHSNCLP-QJQHGWFVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3261939
PubChem CID 90676175
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 NCDMXKSFHSNCLP-QJQHGWFVSA-N
Standard InCHI InChI=1S/C47H56O9/c1-41-19-16-30-22-34(29-8-6-5-7-9-29)53-26-42(30,2)36(41)23-37(49)44(4)35(41)18-20-45-25-46(44,45)21-17-33(45)32-24-47(56-39(32)51)40(52)43(3,27-54-47)55-38(50)15-12-28-10-13-31(48)14-11-28/h5-11,13-14,16,18,20,32-37,40,48-49,52H,12,15,17,19,21-27H2,1-4H3/t32-,33-,34-,35+,36+,37+,40+,41+,42-,43-,44-,45+,46+,47+/m0/s1
SMILES O=C(O[C@@]1(C)CO[C@@]2([C@@H]1O)OC(=O)[C@@H](C2)[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)c1ccccc1)C2)CCc1ccc(cc1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   764.39 Volume:   788.651
?
Van der Waals volume.
Dense:   0.969 LogP:   3.647
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.342
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.534
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   51.0
TPSA:   131.75
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   3.0 Rings:   10.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.208 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.553 Fsp3:   0.617
MCE-18:   294.737
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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:   0.939 Fluc inhibitor:   0.009
?
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:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.034 Promiscuous compounds:   0.011

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.422 MDCK Permeability:   -4.993
Pgp-inhibitor:   1.0 Pgp-substrate:   0.707
PAMPA:   0.101
?
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):   0.0
20% Bioavailability (F20%):   0.098 30% Bioavailability (F30%):   0.826
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.017 MRP1:   0.962
Plasma Protein Binding (PPB):   98.247% Volume Distribution (VD):   0.283
Fu: 1.232%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   0.009
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.943 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.044 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.051 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.014 CYP3A4-substrate:   0.183
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.993
?
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):  5.836 Half-life (T1/2):  1.099

ADMET: Toxicity

hERG Blockers:  0.362 hERG Blockers (10um):  0.588
Human Hepatotoxicity (H-HT):  0.921 Drug-induced Liver Injury (DILI):  0.258
AMES Toxicity:  0.538 Rat Oral Acute Toxicity:  0.838
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  0.822
Carcinogencity:  0.382 Eye Corrosion:  0.0
Eye Irritation:  0.015 Respiratory Toxicity:  0.136
Drug-induced Neurotoxicity:  0.774 Ototoxicity:  0.742
Hematotoxicity:  0.047 Drug-induced Nephrotoxicity:  0.96
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.217
A549 Cytotoxicity:  0.301 Hek293 Cytotoxicity:  0.944
BCF:   0.985
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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:   3.967
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.198
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.802
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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
NPT2779 Organism Spodoptera exigua Spodoptera exigua EC50 = 9.8 microg/cm2 PMID[23046382]

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 = 61.8 % 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 NPC471861 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
0.7712 Intermediate Similarity NPC471860
0.6552 Remote Similarity NPC600616
0.6032 Remote Similarity NPC471858
0.5948 Remote Similarity NPC243893
0.5736 Remote Similarity NPC471850
0.5492 Remote Similarity NPC471862
0.5391 Remote Similarity NPC471856
0.5373 Remote Similarity NPC471859
0.5289 Remote Similarity NPC601361
0.5285 Remote Similarity NPC253591

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471861 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