Natural Product: NPC273668

Natural Product IDNPC273668
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JIXNEPDMGSNJOM-AUBQSUGRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3632935
PubChem CID n.a.
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 JIXNEPDMGSNJOM-AUBQSUGRSA-N
Standard InCHI InChI=1S/C35H56O6/c1-10-20(2)29(40)41-26-18-30(3,4)17-22-21-11-12-24-32(7)15-14-25(37)31(5,6)23(32)13-16-33(24,8)34(21,9)27(38)28(39)35(22,26)19-36/h10-11,22-28,36-39H,12-19H2,1-9H3/b20-10-/t22-,23-,24+,25-,26-,27-,28+,32-,33+,34-,35+/m0/s1
SMILES C/C=C(C(=O)O[C@H]1CC(C)(C)C[C@@H]2[C@@]1(CO)[C@H](O)[C@H](O)[C@@]1(C2=CC[C@H]2[C@@]1(C)CC[C@@H]1[C@]2(C)CC[C@@H](C1(C)C)O)C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   572.41 Volume:   615.966
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Van der Waals volume.
Dense:   0.929 LogP:   4.497
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.042
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.261
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   28.0
TPSA:   107.22
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.2 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.352 Fsp3:   0.857
MCE-18:   112.462
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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:   0.627 Fluc inhibitor:   0.004
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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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:   0.293 Promiscuous compounds:   0.281

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.491 MDCK Permeability:   -5.149
Pgp-inhibitor:   0.022 Pgp-substrate:   0.79
PAMPA:   1.0
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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):   0.034
20% Bioavailability (F20%):   0.957 30% Bioavailability (F30%):   0.715
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.182 MRP1:   0.651
Plasma Protein Binding (PPB):   92.372% Volume Distribution (VD):   -0.056
Fu: 6.594%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.715 BCRP inhibitor:   0.415
BSEP inhibitor:   0.956

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.653 CYP2C19-substrate:   0.994
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.037 CYP3A4-substrate:   0.506
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.962
HLM stability:   0.882
?
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):  7.014 Half-life (T1/2):  1.502

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.203
Human Hepatotoxicity (H-HT):  0.29 Drug-induced Liver Injury (DILI):  0.06
AMES Toxicity:  0.391 Rat Oral Acute Toxicity:  0.386
Maximum Recommended Daily Dose:  0.817 Skin Sensitization:  0.686
Carcinogencity:  0.789 Eye Corrosion:  0.004
Eye Irritation:  0.407 Respiratory Toxicity:  0.768
Drug-induced Neurotoxicity:  0.009 Ototoxicity:  0.783
Hematotoxicity:  0.239 Drug-induced Nephrotoxicity:  0.782
Genotoxicity:  0.381 RPMI-8226 Immunitoxicity:  0.083
A549 Cytotoxicity:  0.107 Hek293 Cytotoxicity:  0.22
BCF:   1.511
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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:   4.061
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.735
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.998
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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
NPO33464 cyrilla racemiflora Species Cyrillaceae Eukaryota n.a. n.a. n.a. PMID[26422131]
NPO40059 Camellia crapnelliana Species Theaceae Eukaryota n.a. n.a. n.a. PMID[29064696]
NPO33464 cyrilla racemiflora Species Cyrillaceae 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 = 2560.0 nM PMID[29064696]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT139 Cell line HT-29 Homo sapiens IC50 = 8700.0 nM DOI[10.1007/s00044-012-9988-y]
NPT21742 Cell line L02 Homo sapiens Activity > 90.0 % PMID[29064696]

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 NPC273668 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
0.8 Intermediate Similarity NPC88349
0.7857 Intermediate Similarity NPC475263
0.7778 Intermediate Similarity NPC480921
0.7778 Intermediate Similarity NPC480920
0.7703 Intermediate Similarity NPC474190
0.6944 Remote Similarity NPC480919
0.6842 Remote Similarity NPC476132
0.6622 Remote Similarity NPC294360
0.6447 Remote Similarity NPC175006
0.6377 Remote Similarity NPC480924
0.6286 Remote Similarity NPC238992
0.6282 Remote Similarity NPC473160
0.6145 Remote Similarity NPC473586
0.6 Remote Similarity NPC237344
0.5949 Remote Similarity NPC283343
0.5595 Remote Similarity NPC476195
0.5476 Remote Similarity NPC603645
0.5432 Remote Similarity NPC480923
0.5417 Remote Similarity NPC474989
0.5405 Remote Similarity NPC470588
0.5301 Remote Similarity NPC258547
0.5229 Remote Similarity NPC277212
0.5229 Remote Similarity NPC30279
0.5229 Remote Similarity NPC473918
0.5182 Remote Similarity NPC71391
0.5135 Remote Similarity NPC311078
0.5135 Remote Similarity NPC101475
0.5125 Remote Similarity NPC49776
0.5125 Remote Similarity NPC63118
0.5125 Remote Similarity NPC164349
0.5125 Remote Similarity NPC474436
0.5067 Remote Similarity NPC235341
0.5067 Remote Similarity NPC253807
0.5067 Remote Similarity NPC158662
0.5065 Remote Similarity NPC246708

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC273668 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
0.5063 Remote Similarity NPD7645 Phase 2

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