Natural Product: NPC471136

Natural Product IDNPC471136
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NOPHMXNWLMLMCT-OEPICUTDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2376811
PubChem CID 71601113
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003494] Rhamnofolane and daphnane 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 NOPHMXNWLMLMCT-OEPICUTDSA-N
Standard InCHI InChI=1S/C34H46O10/c1-8-9-10-11-12-13-14-15-31-42-27-23-26-30(17-35,41-26)29(38)32(39)22(16-20(6)24(32)36)34(23,44-31)21(7)25(40-28(37)18(2)3)33(27,43-31)19(4)5/h12-16,18,21-23,25-27,29,35,38-39H,4,8-11,17H2,1-3,5-7H3/b13-12+,15-14+/t21-,22-,23+,25-,26+,27-,29-,30+,31?,32-,33+,34+/m1/s1
SMILES CCCCC/C=C/C=C/C12O[C@H]3[C@](O1)(C(=C)C)[C@@H]([C@H]([C@@]1(O2)[C@H]3[C@@H]2O[C@@]2([C@H]([C@]2([C@H]1C=C(C2=O)C)O)O)CO)C)OC(=O)C(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   614.31 Volume:   617.365
?
Van der Waals volume.
Dense:   0.995 LogP:   3.973
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.856
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.862
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   29.0
TPSA:   144.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.11 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.898 Fsp3:   0.706
MCE-18:   108.621
?
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:   0.527 Fluc inhibitor:   0.062
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.008
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.183 Promiscuous compounds:   0.206

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.342 MDCK Permeability:   -4.945
Pgp-inhibitor:   0.089 Pgp-substrate:   0.008
PAMPA:   0.043
?
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):   0.002
20% Bioavailability (F20%):   0.707 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.025 MRP1:   0.978
Plasma Protein Binding (PPB):   95.406% Volume Distribution (VD):   0.139
Fu: 2.972%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.048
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.195
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.347
CYP2C9-inhibitor:   0.029 CYP2C9-substrate:   0.006
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.03
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.964
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.718
?
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):  5.688 Half-life (T1/2):  0.841

ADMET: Toxicity

hERG Blockers:  0.069 hERG Blockers (10um):  0.259
Human Hepatotoxicity (H-HT):  0.576 Drug-induced Liver Injury (DILI):  0.336
AMES Toxicity:  0.907 Rat Oral Acute Toxicity:  0.487
Maximum Recommended Daily Dose:  0.26 Skin Sensitization:  1.0
Carcinogencity:  0.188 Eye Corrosion:  0.003
Eye Irritation:  0.239 Respiratory Toxicity:  0.503
Drug-induced Neurotoxicity:  0.369 Ototoxicity:  0.9
Hematotoxicity:  0.783 Drug-induced Nephrotoxicity:  0.501
Genotoxicity:  0.035 RPMI-8226 Immunitoxicity:  0.279
A549 Cytotoxicity:  0.727 Hek293 Cytotoxicity:  0.766
BCF:   1.18
?
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:   4.11
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.751
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.042
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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
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. flower n.a. PMID[21916433]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota flower buds n.a. n.a. PMID[23558238]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[27228307]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota Roots n.a. n.a. PMID[31150241]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[31860304]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[32223193]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9756 Daphne genkwa Species Thymelaeaceae 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
NPT111 Cell line K562 Homo sapiens IC50 = 5110.0 nM PMID[19757815]
NPT466 Cell line U-937 Homo sapiens IC50 = 27610.0 nM PMID[19902967]
NPT116 Cell line HL-60 Homo sapiens IC50 = 29990.0 nM PMID[16213713]
NPT453 Cell line HT-1080 Homo sapiens IC50 = 4550.0 nM PMID[23718637]
NPT81 Cell line A549 Homo sapiens IC50 = 23050.0 nM DrugMatrix in vivo data: Pathology
NPT393 Cell line HCT-116 Homo sapiens IC50 = 25150.0 nM DOI[10.6019/CHEMBL1201861]
NPT65 Cell line HepG2 Homo sapiens IC50 = 17750.0 nM PMID[23398362]
NPT83 Cell line MCF7 Homo sapiens IC50 = 20800.0 nM PMID[11170658]
NPT165 Cell line HeLa Homo sapiens IC50 > 50000.0 nM PubChem BioAssay data set
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 24870.0 nM PMID[23558238]

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 NPC471136 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
1.0 High Similarity NPC116727
0.9189 High Similarity NPC223356
0.9189 High Similarity NPC298697
0.9189 High Similarity NPC475500
0.9189 High Similarity NPC100017
0.9189 High Similarity NPC481742
0.9067 High Similarity NPC182266
0.9067 High Similarity NPC475154
0.9067 High Similarity NPC485700
0.9067 High Similarity NPC75831
0.9067 High Similarity NPC471137
0.8947 High Similarity NPC39509
0.8831 High Similarity NPC481744
0.8831 High Similarity NPC481743
0.8421 Intermediate Similarity NPC324104
0.8421 Intermediate Similarity NPC473548
0.8312 Intermediate Similarity NPC180902
0.764 Intermediate Similarity NPC101786
0.7595 Intermediate Similarity NPC251564
0.7595 Intermediate Similarity NPC477189
0.75 Intermediate Similarity NPC474508
0.75 Intermediate Similarity NPC473485
0.75 Intermediate Similarity NPC92598
0.75 Intermediate Similarity NPC171411
0.75 Intermediate Similarity NPC43304
0.75 Intermediate Similarity NPC485701
0.75 Intermediate Similarity NPC481753
0.75 Intermediate Similarity NPC477188
0.75 Intermediate Similarity NPC477190
0.7473 Intermediate Similarity NPC481773
0.7284 Intermediate Similarity NPC475314
0.7284 Intermediate Similarity NPC102997
0.7195 Intermediate Similarity NPC485693
0.7033 Intermediate Similarity NPC130886
0.7033 Intermediate Similarity NPC486153
0.6889 Remote Similarity NPC164150
0.6889 Remote Similarity NPC481754
0.6882 Remote Similarity NPC481774
0.6869 Remote Similarity NPC69240
0.6707 Remote Similarity NPC162495
0.6627 Remote Similarity NPC475606
0.6337 Remote Similarity NPC191992
0.6277 Remote Similarity NPC68282
0.5652 Remote Similarity NPC473838
0.5612 Remote Similarity NPC481745
0.5455 Remote Similarity NPC486154
0.5426 Remote Similarity NPC475139
0.5368 Remote Similarity NPC605479
0.5287 Remote Similarity NPC475273
0.5287 Remote Similarity NPC168849
0.5287 Remote Similarity NPC217901
0.5287 Remote Similarity NPC611341
0.5161 Remote Similarity NPC481751
0.505 Remote Similarity NPC156682
0.505 Remote Similarity NPC49297

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471136 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