Natural Product: NPC281005

Natural Product IDNPC281005
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 IKJCOTOCIDNGHA-KTFAJWTQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0001543] Sesquiterpene lactones
            • [CHEMONTID:0001770] Guaianolides and derivatives

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 IKJCOTOCIDNGHA-KTFAJWTQSA-N
Standard InCHI InChI=1S/C20H24O7/c1-9-6-13(23)15-10(2)7-14(26-20(25)12(8-22)4-5-21)17-11(3)19(24)27-18(17)16(9)15/h4,6,13-18,21-23H,2-3,5,7-8H2,1H3/b12-4+/t13-,14-,15-,16+,17-,18-/m1/s1
SMILES CC1=C[C@H]([C@H]2C(=C)C[C@H]([C@H]3C(=C)C(=O)O[C@@H]3[C@@H]12)OC(=O)/C(=C/CO)/CO)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   376.15 Volume:   374.52
?
Van der Waals volume.
Dense:   1.004 LogP:   1.042
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.458
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -1.987
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   20.0
TPSA:   113.29
?
Topological Polar Surface Area.
 H-Bond Acceptor:   7.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.37 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.107 Fsp3:   0.5
MCE-18:   51.8
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.483 Fluc inhibitor:   0.003
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.024
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.005
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.412 Promiscuous compounds:   0.615

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.932 MDCK Permeability:   -4.955
Pgp-inhibitor:   0.197 Pgp-substrate:   0.672
PAMPA:   0.96
?
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):   0.223
20% Bioavailability (F20%):   0.521 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.142
Plasma Protein Binding (PPB):   40.363% Volume Distribution (VD):   -0.281
Fu: 61.524%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.297
BSEP inhibitor:   0.838

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.303 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.217
HLM stability:   0.006
?
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):  9.075 Half-life (T1/2):  1.397

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.047
Human Hepatotoxicity (H-HT):  0.927 Drug-induced Liver Injury (DILI):  0.931
AMES Toxicity:  0.722 Rat Oral Acute Toxicity:  0.073
Maximum Recommended Daily Dose:  0.192 Skin Sensitization:  0.996
Carcinogencity:  0.744 Eye Corrosion:  0.001
Eye Irritation:  0.62 Respiratory Toxicity:  0.323
Drug-induced Neurotoxicity:  0.094 Ototoxicity:  0.897
Hematotoxicity:  0.739 Drug-induced Nephrotoxicity:  0.921
Genotoxicity:  0.946 RPMI-8226 Immunitoxicity:  0.159
A549 Cytotoxicity:  0.055 Hek293 Cytotoxicity:  0.07
BCF:   0.515
?
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:   3.3
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.147
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   4.273
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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
NPO4939 Odonthalia corymbifera Species Rhodomelaceae Eukaryota n.a. n.a. n.a. PMID[10395508]
NPO4796 Polyscias fulva Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[11170676]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[15730261]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[15973055]
NPO4939 Odonthalia corymbifera Species Rhodomelaceae Eukaryota n.a. n.a. n.a. PMID[18053715]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[18656987]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[21053938]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. PMID[23387901]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. Moroccan n.a. PMID[23713692]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[26295595]
NPO2440 Schkuhria pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[29244495]
NPO691 Tarchonanthus camphoratus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[29244495]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[7766039]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2440 Schkuhria pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO691 Tarchonanthus camphoratus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5438 Ficus racemosa Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7280 Lycoris squamigera Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4939 Odonthalia corymbifera Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4796 Polyscias fulva Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7280 Lycoris squamigera Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2440 Schkuhria pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7280 Lycoris squamigera Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7280 Lycoris squamigera Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5438 Ficus racemosa Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19366 Penicillium citrinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4939 Odonthalia corymbifera Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4796 Polyscias fulva Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2440 Schkuhria pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7591 Cedrus deodara Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO691 Tarchonanthus camphoratus Species Asteraceae 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
NPT839 Cell line L6 Rattus norvegicus IC50 = 42800.0 nM PMID[29244495]
NPT844 Organism Trypanosoma brucei rhodesiense Trypanosoma brucei rhodesiense IC50 = 7300.0 nM PMID[29244495]
NPT2 Others Unspecified n.a. Ratio IC50 = 5.9 n.a. PMID[29244495]

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 NPC281005 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
0.5968 Remote Similarity NPC486041
0.5469 Remote Similarity NPC486031
0.5156 Remote Similarity NPC304886
0.5156 Remote Similarity NPC470755
0.5156 Remote Similarity NPC298801
0.5079 Remote Similarity NPC38392

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC281005 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