Natural Product: NPC191660

Natural Product IDNPC191660
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KITUBOBTRYFYBY-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5315116
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0001632] Flavanones

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 KITUBOBTRYFYBY-UHFFFAOYSA-N
Standard InCHI InChI=1S/C20H20O5/c1-10-20(2,3)18-16(24-10)9-14(23)17-13(22)8-15(25-19(17)18)11-4-6-12(21)7-5-11/h4-7,9-10,15,21,23H,8H2,1-3H3
SMILES CC1C(C)(C)c2c(cc(c3C(=O)CC(c4ccc(cc4)O)Oc23)O)O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   340.13 Volume:   345.746
?
Van der Waals volume.
Dense:   0.984 LogP:   3.344
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.022
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.633
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   22.0
TPSA:   75.99
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.824 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.653 Fsp3:   0.35
MCE-18:   82.407
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.581 Fluc inhibitor:   0.289
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.476
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.357
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.297 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.888 MDCK Permeability:   -4.749
Pgp-inhibitor:   0.979 Pgp-substrate:   0.18
PAMPA:   0.099
?
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):   0.001
20% Bioavailability (F20%):   0.022 30% Bioavailability (F30%):   0.868
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.033 MRP1:   0.984
Plasma Protein Binding (PPB):   96.81% Volume Distribution (VD):   0.191
Fu: 2.608%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.883
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.993
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.603 CYP1A2-substrate:   0.405
CYP2C19-inhibitor:   0.475 CYP2C19-substrate:   0.964
CYP2C9-inhibitor:   0.89 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.026 CYP2D6-substrate:   0.615
CYP3A4-inhibitor:   0.275 CYP3A4-substrate:   0.875
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.985
HLM stability:   0.79
?
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):  3.712 Half-life (T1/2):  1.278

ADMET: Toxicity

hERG Blockers:  0.149 hERG Blockers (10um):  0.591
Human Hepatotoxicity (H-HT):  0.652 Drug-induced Liver Injury (DILI):  0.488
AMES Toxicity:  0.57 Rat Oral Acute Toxicity:  0.667
Maximum Recommended Daily Dose:  0.711 Skin Sensitization:  0.773
Carcinogencity:  0.66 Eye Corrosion:  0.003
Eye Irritation:  0.962 Respiratory Toxicity:  0.758
Drug-induced Neurotoxicity:  0.408 Ototoxicity:  0.457
Hematotoxicity:  0.236 Drug-induced Nephrotoxicity:  0.556
Genotoxicity:  0.745 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.475 Hek293 Cytotoxicity:  0.796
BCF:   1.672
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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:   4.312
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.817
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.111
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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
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae Eukaryota rhizomes n.a. n.a. PMID[19583252]
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae Eukaryota Rhizomes n.a. n.a. PMID[28169537]
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11959 Helminthostachys zeylanica Species Ophioglossaceae 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 NPC191660 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
0.619 Remote Similarity NPC220998
0.5965 Remote Similarity NPC603284
0.5938 Remote Similarity NPC470133
0.5763 Remote Similarity NPC329203
0.5763 Remote Similarity NPC324386
0.5763 Remote Similarity NPC222342
0.569 Remote Similarity NPC32441
0.569 Remote Similarity NPC79943
0.55 Remote Similarity NPC194432
0.5469 Remote Similarity NPC480991
0.541 Remote Similarity NPC485881
0.541 Remote Similarity NPC469764
0.541 Remote Similarity NPC606248
0.5385 Remote Similarity NPC107572
0.5385 Remote Similarity NPC32739
0.5373 Remote Similarity NPC76338
0.5373 Remote Similarity NPC250242
0.5333 Remote Similarity NPC167624
0.5333 Remote Similarity NPC166482
0.5303 Remote Similarity NPC175504
0.5286 Remote Similarity NPC69531
0.5278 Remote Similarity NPC475052
0.5254 Remote Similarity NPC225153
0.5254 Remote Similarity NPC479876
0.5246 Remote Similarity NPC300668
0.5205 Remote Similarity NPC479210
0.5172 Remote Similarity NPC329225
0.5172 Remote Similarity NPC147686
0.5161 Remote Similarity NPC475267
0.5152 Remote Similarity NPC109183
0.5152 Remote Similarity NPC472580

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC191660 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
0.569 Remote Similarity NPD1552 Clinical (unspecified phase)
0.5172 Remote Similarity NPD1549 Phase 2

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