Natural Product: NPC94728

Natural Product IDNPC94728
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BJWJSOYJPSJWKC-AKMJNONISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101618867
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003782] Kaurane 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 BJWJSOYJPSJWKC-AKMJNONISA-N
Standard InCHI InChI=1S/C25H36O4/c1-6-15(2)21(26)29-20-16(3)17-8-9-19-23(4)11-7-12-24(5,22(27)28)18(23)10-13-25(19,20)14-17/h6,17-20H,3,7-14H2,1-2,4-5H3,(H,27,28)/b15-6+/t17-,18+,19+,20+,23-,24-,25-/m1/s1
SMILES C/C=C(C)/C(=O)O[C@H]1C(=C)[C@@H]2CC[C@H]3[C@]4(C)CCC[C@](C)([C@H]4CC[C@]13C2)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   400.26 Volume:   431.345
?
Van der Waals volume.
Dense:   0.928 LogP:   3.562
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.961
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.318
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   23.0
TPSA:   63.6
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.384 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.799 Fsp3:   0.76
MCE-18:   106.773
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.415 Fluc inhibitor:   0.028
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.567 Promiscuous compounds:   0.079

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.846 MDCK Permeability:   -4.787
Pgp-inhibitor:   0.003 Pgp-substrate:   0.032
PAMPA:   0.932
?
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):   0.003
20% Bioavailability (F20%):   0.056 30% Bioavailability (F30%):   0.03
50% Bioavailability (F50%):   0.166

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.938
Plasma Protein Binding (PPB):   97.492% Volume Distribution (VD):   -0.189
Fu: 2.375%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.98
OATP1B3 inhibitor:   0.888 BCRP inhibitor:   0.052
BSEP inhibitor:   0.818

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.01 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.008 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.543
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.007
HLM stability:   0.004
?
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):  2.804 Half-life (T1/2):  1.259

ADMET: Toxicity

hERG Blockers:  0.055 hERG Blockers (10um):  0.042
Human Hepatotoxicity (H-HT):  0.695 Drug-induced Liver Injury (DILI):  0.763
AMES Toxicity:  0.209 Rat Oral Acute Toxicity:  0.202
Maximum Recommended Daily Dose:  0.535 Skin Sensitization:  0.994
Carcinogencity:  0.801 Eye Corrosion:  0.492
Eye Irritation:  0.931 Respiratory Toxicity:  0.873
Drug-induced Neurotoxicity:  0.035 Ototoxicity:  0.523
Hematotoxicity:  0.683 Drug-induced Nephrotoxicity:  0.934
Genotoxicity:  0.632 RPMI-8226 Immunitoxicity:  0.035
A549 Cytotoxicity:  0.057 Hek293 Cytotoxicity:  0.189
BCF:   1.212
?
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:   4.306
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.899
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.24
?
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
NPO13884 Microglossa pyrrhopappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1402 Adenocarpus foliolosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29061 Anthoxanthum nitens Species Poaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11975 Antillogorgia elisabethae Species Gorgoniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6564 Betula exilis Species Betulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13183 Cereus dumortieri Species Sagartiidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7550 Chromolaena arnottiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22285 Clethra macrophylla Species Clethraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10309 Ichthyothere terminalis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14173 Ipomoea reptans Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10163 Oreoherzogia fallax Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11036 Piper taboganum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19055 Plenodomus tracheiphilus Species Leptosphaeriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11508 Polygala reinii Species Polygalaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14374 Retama duriaei Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14581 Rubia schumanniana Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3031 Sabal causiarum Species Arecaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13484 Vidalia volubilis Species Tephritidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3031 Sabal causiarum Species Arecaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11508 Polygala reinii Species Polygalaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11975 Antillogorgia elisabethae Species Gorgoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22285 Clethra macrophylla Species Clethraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3031 Sabal causiarum Species Arecaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10309 Ichthyothere terminalis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14374 Retama duriaei Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11036 Piper taboganum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14581 Rubia schumanniana Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13884 Microglossa pyrrhopappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10163 Oreoherzogia fallax Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29061 Anthoxanthum nitens Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1402 Adenocarpus foliolosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14173 Ipomoea reptans Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7550 Chromolaena arnottiana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11508 Polygala reinii Species Polygalaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13484 Vidalia volubilis Species Tephritidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6564 Betula exilis Species Betulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13183 Cereus dumortieri Species Sagartiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19055 Plenodomus tracheiphilus Species Leptosphaeriaceae 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

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 NPC94728 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
0.8393 Intermediate Similarity NPC472505
0.8 Intermediate Similarity NPC257942
0.5972 Remote Similarity NPC479782
0.5397 Remote Similarity NPC170985
0.5231 Remote Similarity NPC600598
0.5152 Remote Similarity NPC474404
0.5139 Remote Similarity NPC282559
0.5079 Remote Similarity NPC330659
0.5079 Remote Similarity NPC244708
0.5079 Remote Similarity NPC161187
0.5077 Remote Similarity NPC212661
0.5077 Remote Similarity NPC471035
0.507 Remote Similarity NPC475118

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC94728 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