Natural Product: NPC14858

Natural Product IDNPC14858
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VCUFPKRXFVNKKD-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5322151
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0000144] Chromones

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 VCUFPKRXFVNKKD-UHFFFAOYSA-N
Standard InCHI InChI=1S/C43H74O4/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24-25-26-27-28-29-30-31-32-33-34-38-35-40(44)43-41(45)36-39(46-2)37-42(43)47-38/h35-37,45H,3-34H2,1-2H3
SMILES CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCc1cc(=O)c2c(cc(cc2o1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   654.56 Volume:   757.15
?
Van der Waals volume.
Dense:   0.865 LogP:   11.844
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.707
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -8.657
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The logarithm of aqueous solubility value.
Rotatable Bonds:   33.0 Rigid Bonds:   12.0
TPSA:   59.67
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   2.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.078 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.701 Fsp3:   0.791
MCE-18:   12.0
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.779 Fluc inhibitor:   0.673
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.163
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.369
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.29 Promiscuous compounds:   0.146

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.079 MDCK Permeability:   -4.99
Pgp-inhibitor:   0.003 Pgp-substrate:   0.009
PAMPA:   0.0
?
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):   0.996
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.997
Plasma Protein Binding (PPB):   107.169% Volume Distribution (VD):   3.654
Fu: 0.024%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.948
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   1.0
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.927 CYP1A2-substrate:   0.996
CYP2C19-inhibitor:   0.02 CYP2C19-substrate:   0.051
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.976
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.946
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.123 CYP2C8-inhibitor:   0.998
HLM stability:   0.264
?
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):  3.801 Half-life (T1/2):  6.681

ADMET: Toxicity

hERG Blockers:  0.95 hERG Blockers (10um):  0.984
Human Hepatotoxicity (H-HT):  0.597 Drug-induced Liver Injury (DILI):  0.577
AMES Toxicity:  0.015 Rat Oral Acute Toxicity:  0.175
Maximum Recommended Daily Dose:  0.629 Skin Sensitization:  0.998
Carcinogencity:  0.258 Eye Corrosion:  0.538
Eye Irritation:  0.993 Respiratory Toxicity:  0.999
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.089
Hematotoxicity:  0.099 Drug-induced Nephrotoxicity:  0.069
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.998 Hek293 Cytotoxicity:  0.721
BCF:   -0.107
?
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:   6.226
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.773
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.728
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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
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. Database[FooDB]
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9822 Typha angustifolia Species Typhaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9822 Typha angustifolia Species Typhaceae 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 NPC14858 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
0.8077 Intermediate Similarity NPC475589
0.7966 Intermediate Similarity NPC487770
0.75 Intermediate Similarity NPC473584
0.7419 Intermediate Similarity NPC487768
0.6552 Remote Similarity NPC10971
0.6552 Remote Similarity NPC202410
0.6552 Remote Similarity NPC187907
0.625 Remote Similarity NPC25937
0.6182 Remote Similarity NPC31872
0.5672 Remote Similarity NPC487769
0.5455 Remote Similarity NPC487771
0.5373 Remote Similarity NPC487767
0.5312 Remote Similarity NPC473887
0.5312 Remote Similarity NPC306258
0.5254 Remote Similarity NPC473907
0.5152 Remote Similarity NPC487774
0.5075 Remote Similarity NPC487775
0.5072 Remote Similarity NPC487777

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC14858 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