Natural Product: NPC476729

Natural Product IDNPC476729
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
methyl (1R,2S,3R,6R,8R,13S,14R,15R,16S,17R)-10,15,16-trihydroxy-3-[(E)-4-hydroxy-3,4-dimethylpent-2-enoyl]oxy-9,13-dimethyl-4,11-dioxo-5,18-dioxapentacyclo[12.5.0.01,6.02,17.08,13]nonadec-9-ene-17-carboxylate
IUPAC Name methyl (1R,2S,3R,6R,8R,13S,14R,15R,16S,17R)-10,15,16-trihydroxy-3-[(E)-4-hydroxy-3,4-dimethylpent-2-enoyl]oxy-9,13-dimethyl-4,11-dioxo-5,18-dioxapentacyclo[12.5.0.01,6.02,17.08,13]nonadec-9-ene-17-carboxylate
Synonyms Bruceine C
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44584512
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0002119] Quassinoids

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 KCVFVYXSNLKEHU-MBKFLBLHSA-N
Standard InCHI InChI=1S/C28H36O12/c1-11(25(3,4)36)7-16(30)40-19-21-27-10-38-28(21,24(35)37-6)22(33)18(32)20(27)26(5)9-14(29)17(31)12(2)13(26)8-15(27)39-23(19)34/h7,13,15,18-22,31-33,36H,8-10H2,1-6H3/b11-7+/t13-,15+,18+,19+,20+,21+,22-,26-,27+,28+/m0/s1
SMILES CC1=C(C(=O)C[C@]2([C@H]1C[C@@H]3[C@]45[C@@H]2[C@H]([C@@H]([C@@]([C@@H]4[C@H](C(=O)O3)OC(=O)/C=C(\C)/C(C)(C)O)(OC5)C(=O)OC)O)O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   564.22 Volume:   539.726
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Van der Waals volume.
Dense:   1.045 LogP:   0.42
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.02
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.919
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   28.0
TPSA:   186.12
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Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   12.0

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:   6.676 Fsp3:   0.714
MCE-18:   145.208
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.39 Fluc inhibitor:   0.006
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.017
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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:   0.074 Promiscuous compounds:   0.385

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.908 MDCK Permeability:   -5.288
Pgp-inhibitor:   0.281 Pgp-substrate:   0.881
PAMPA:   0.82
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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):   0.024
20% Bioavailability (F20%):   0.043 30% Bioavailability (F30%):   0.717
50% Bioavailability (F50%):   0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.994
Plasma Protein Binding (PPB):   57.771% Volume Distribution (VD):   -0.342
Fu: 44.721%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.006
BSEP inhibitor:   0.602

ADMET: Metabolism

CYP1A2-inhibitor:   0.997 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.793 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.045 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.027
CYP3A4-inhibitor:   0.956 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.211
HLM stability:   0.184
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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):  2.981 Half-life (T1/2):  3.185

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.01
Human Hepatotoxicity (H-HT):  0.791 Drug-induced Liver Injury (DILI):  0.936
AMES Toxicity:  0.808 Rat Oral Acute Toxicity:  0.364
Maximum Recommended Daily Dose:  0.333 Skin Sensitization:  1.0
Carcinogencity:  0.531 Eye Corrosion:  0.002
Eye Irritation:  0.502 Respiratory Toxicity:  0.342
Drug-induced Neurotoxicity:  0.163 Ototoxicity:  0.846
Hematotoxicity:  0.54 Drug-induced Nephrotoxicity:  0.985
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.106
A549 Cytotoxicity:  0.017 Hek293 Cytotoxicity:  0.265
BCF:   0.52
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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:   3.304
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.152
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.364
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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
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. seed n.a. DOI[10.1016/0031-9422(96)00258-0]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. fruit n.a. DOI[10.1016/S1383-5769(99)00023-9]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[10086989]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[1512598]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[15165151]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota fruit Indonesia n.a. PMID[17896817]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. Vietnam n.a. PMID[19026551]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota seeds n.a. n.a. PMID[20050684]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[22506620]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[6481366]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[7561896]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14948 Brucea javanica Species Simaroubaceae 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
NPT1355 Organism Babesia gibsoni Babesia gibsoni IC50 = 0.107 ug/ml PMID[17896817]
NPT992 Organism Entamoeba histolytica Entamoeba histolytica IC50 = 0.279 ug/ml DOI[10.1007/s00044-011-9767-1]
NPT474 Organism Plasmodium berghei Plasmodium berghei Inhibition = 40 % PMID[3298551]
NPT485 Organism Plasmodium falciparum (isolate K1 / Thailand) Plasmodium falciparum K1 IC50 = 0.005 ug/ml PMID[3298551]

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 NPC476729 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
0.9155 High Similarity NPC18945
0.9155 High Similarity NPC152301
0.8784 High Similarity NPC265557
0.8451 Intermediate Similarity NPC143268
0.8333 Intermediate Similarity NPC105926
0.8219 Intermediate Similarity NPC323821
0.8108 Intermediate Similarity NPC16081
0.7037 Intermediate Similarity NPC67251
0.6667 Remote Similarity NPC213084
0.6463 Remote Similarity NPC146432
0.6463 Remote Similarity NPC470778
0.6456 Remote Similarity NPC268238
0.6456 Remote Similarity NPC45218
0.6421 Remote Similarity NPC251998
0.642 Remote Similarity NPC479018
0.622 Remote Similarity NPC89929
0.619 Remote Similarity NPC480783
0.5955 Remote Similarity NPC470779
0.5862 Remote Similarity NPC480785
0.5854 Remote Similarity NPC470776
0.5854 Remote Similarity NPC17772
0.5843 Remote Similarity NPC480777
0.5833 Remote Similarity NPC262813
0.5747 Remote Similarity NPC190185
0.5714 Remote Similarity NPC295885
0.5698 Remote Similarity NPC24651
0.5682 Remote Similarity NPC312833
0.5682 Remote Similarity NPC480787
0.5682 Remote Similarity NPC480784
0.5647 Remote Similarity NPC485623
0.5444 Remote Similarity NPC94509
0.5444 Remote Similarity NPC479017
0.5435 Remote Similarity NPC480786
0.5368 Remote Similarity NPC91693
0.5341 Remote Similarity NPC476008
0.5312 Remote Similarity NPC87662
0.5233 Remote Similarity NPC470777
0.5196 Remote Similarity NPC140045
0.5152 Remote Similarity NPC190065
0.505 Remote Similarity NPC141215

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476729 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