Natural Product: NPC151220

Natural Product IDNPC151220
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MIXHWJJKSJFGCZ-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 12314461
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0001614] Neoflavonoids
        • [CHEMONTID:0003650] Prenylated neoflavonoids

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 MIXHWJJKSJFGCZ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C25H24O5/c1-5-14(2)21(27)20-22(28)16-11-12-25(3,4)30-23(16)19-17(13-18(26)29-24(19)20)15-9-7-6-8-10-15/h6-14,28H,5H2,1-4H3
SMILES CCC(C)C(=O)c1c(c2C=CC(C)(C)Oc2c2c(cc(=O)oc12)c1ccccc1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   404.16 Volume:   424.317
?
Van der Waals volume.
Dense:   0.952 LogP:   5.109
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.96
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.494
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   24.0
TPSA:   76.74
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.454 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.384 Fsp3:   0.28
MCE-18:   79.625
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.864 Fluc inhibitor:   0.016
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.787
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.899
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.24 Promiscuous compounds:   0.062

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.867 MDCK Permeability:   -4.646
Pgp-inhibitor:   0.863 Pgp-substrate:   0.001
PAMPA:   0.238
?
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):   0.0
20% Bioavailability (F20%):   0.518 30% Bioavailability (F30%):   0.945
50% Bioavailability (F50%):   0.968

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.293 MRP1:   0.999
Plasma Protein Binding (PPB):   98.936% Volume Distribution (VD):   -0.141
Fu: 0.602%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.988
OATP1B3 inhibitor:   0.923 BCRP inhibitor:   0.026
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.664 CYP1A2-substrate:   0.996
CYP2C19-inhibitor:   0.79 CYP2C19-substrate:   0.997
CYP2C9-inhibitor:   0.197 CYP2C9-substrate:   0.893
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.41 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.016 CYP2C8-inhibitor:   0.992
HLM stability:   0.883
?
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):  1.706 Half-life (T1/2):  1.013

ADMET: Toxicity

hERG Blockers:  0.166 hERG Blockers (10um):  0.482
Human Hepatotoxicity (H-HT):  0.662 Drug-induced Liver Injury (DILI):  0.588
AMES Toxicity:  0.334 Rat Oral Acute Toxicity:  0.461
Maximum Recommended Daily Dose:  0.775 Skin Sensitization:  0.399
Carcinogencity:  0.651 Eye Corrosion:  0.009
Eye Irritation:  0.564 Respiratory Toxicity:  0.769
Drug-induced Neurotoxicity:  0.432 Ototoxicity:  0.31
Hematotoxicity:  0.33 Drug-induced Nephrotoxicity:  0.392
Genotoxicity:  0.704 RPMI-8226 Immunitoxicity:  0.107
A549 Cytotoxicity:  0.106 Hek293 Cytotoxicity:  0.496
BCF:   1.757
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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:   4.871
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.857
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.311
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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
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[15678383]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[16045947]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. stem n.a. PMID[20188156]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. Malaysian n.a. PMID[7506311]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2804 Calophyllum inophyllum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2804 Calophyllum inophyllum Species Calophyllaceae 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 NPC151220 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
0.8507 High Similarity NPC208303
0.7808 Intermediate Similarity NPC469933
0.7083 Intermediate Similarity NPC151973
0.6709 Remote Similarity NPC469932
0.64 Remote Similarity NPC475797
0.6316 Remote Similarity NPC249942
0.6026 Remote Similarity NPC282335
0.6026 Remote Similarity NPC218300
0.5844 Remote Similarity NPC321372
0.5844 Remote Similarity NPC297886
0.5696 Remote Similarity NPC161864
0.5658 Remote Similarity NPC188632
0.5658 Remote Similarity NPC112791
0.5625 Remote Similarity NPC35501
0.5625 Remote Similarity NPC137262
0.5625 Remote Similarity NPC144512
0.5625 Remote Similarity NPC278600
0.5625 Remote Similarity NPC37428
0.5625 Remote Similarity NPC47040
0.561 Remote Similarity NPC469934
0.557 Remote Similarity NPC57470
0.5432 Remote Similarity NPC109967
0.5432 Remote Similarity NPC469936
0.5375 Remote Similarity NPC470322
0.5375 Remote Similarity NPC469956
0.5366 Remote Similarity NPC608427
0.5309 Remote Similarity NPC279218
0.5294 Remote Similarity NPC469955
0.5294 Remote Similarity NPC469952
0.5119 Remote Similarity NPC469935
0.5111 Remote Similarity NPC472206
0.5063 Remote Similarity NPC470296
0.5063 Remote Similarity NPC196459

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC151220 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