Natural Product: NPC135155

Natural Product IDNPC135155
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DDDBNNKSLDKJON-WYIVNXOOSA-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:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000296] Benzodioxoles

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 DDDBNNKSLDKJON-WYIVNXOOSA-N
Standard InCHI InChI=1S/C17H21NO3/c1-3-13(2)11-18-17(19)7-5-4-6-14-8-9-15-16(10-14)21-12-20-15/h4-10,13H,3,11-12H2,1-2H3,(H,18,19)/b6-4+,7-5+/t13-/m1/s1
SMILES CC[C@@H](C)CN=C(/C=C/C=C/c1ccc2c(c1)OCO2)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   287.15 Volume:   307.024
?
Van der Waals volume.
Dense:   0.935 LogP:   4.092
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.314
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.717
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   13.0
TPSA:   51.05
?
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:   0.489 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.472 Fsp3:   0.353
MCE-18:   33.957
?
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:   0.993 Fluc inhibitor:   1.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.367
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.499
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.045 Promiscuous compounds:   0.446

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.85 MDCK Permeability:   -4.66
Pgp-inhibitor:   0.782 Pgp-substrate:   0.03
PAMPA:   0.272
?
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%):   0.626 30% Bioavailability (F30%):   0.276
50% Bioavailability (F50%):   0.947

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.032
Plasma Protein Binding (PPB):   94.986% Volume Distribution (VD):   -0.094
Fu: 4.153%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.989
OATP1B3 inhibitor:   0.985 BCRP inhibitor:   0.086
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.051 CYP1A2-substrate:   0.795
CYP2C19-inhibitor:   0.374 CYP2C19-substrate:   0.787
CYP2C9-inhibitor:   0.052 CYP2C9-substrate:   0.998
CYP2D6-inhibitor:   0.994 CYP2D6-substrate:   0.993
CYP3A4-inhibitor:   0.147 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.807
?
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):  5.617 Half-life (T1/2):  0.817

ADMET: Toxicity

hERG Blockers:  0.1 hERG Blockers (10um):  0.163
Human Hepatotoxicity (H-HT):  0.949 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.951 Rat Oral Acute Toxicity:  0.542
Maximum Recommended Daily Dose:  0.561 Skin Sensitization:  0.997
Carcinogencity:  0.98 Eye Corrosion:  0.004
Eye Irritation:  0.81 Respiratory Toxicity:  0.62
Drug-induced Neurotoxicity:  0.506 Ototoxicity:  0.479
Hematotoxicity:  0.318 Drug-induced Nephrotoxicity:  0.911
Genotoxicity:  0.841 RPMI-8226 Immunitoxicity:  0.038
A549 Cytotoxicity:  0.086 Hek293 Cytotoxicity:  0.385
BCF:   1.019
?
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:   3.685
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.189
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.577
?
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
NPO10274 Pothomorphe peltata n.a. n.a. n.a. n.a. Dominican Republic n.a. PMID[11430019]
NPO6544 Carpesium longifolium Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[14695795]
NPO3968 Dracontium loretense Species Araceae Eukaryota n.a. n.a. n.a. PMID[19341262]
NPO3968 Dracontium loretense Species Araceae Eukaryota corms Iquitos, Peru 2005-MAY PMID[19341262]
NPO10666 Verbesina virginica Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[19485332]
NPO4251 Photorhabdus luminescens Species Morganellaceae Bacteria n.a. n.a. n.a. PMID[22909174]
NPO12125 Pseudomonas stutzeri Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[23149469]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota Fruits n.a. n.a. PMID[23506561]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota leaves n.a. n.a. PMID[25127165]
NPO4251 Photorhabdus luminescens Species Morganellaceae Bacteria n.a. n.a. n.a. PMID[25988621]
NPO13059 Abies webbiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8639 Agaricus xanthodermus Species Agaricaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10459 Brickellia longifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12488 Bupleurum rigidum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6544 Carpesium longifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11511 Cochlearia officinalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9950 Coelogyne nitida Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6880 Crocus corsicus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO876 Didymosphaeria enalia Species Didymosphaeriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11137 Dichotomanthes tristaniicarpa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4251 Photorhabdus luminescens Species Morganellaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO10666 Verbesina virginica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27487 Silene banksia Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7158 Schefflera venulosa Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12125 Pseudomonas stutzeri Species Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO10274 Pothomorphe peltata n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO2840 Podocarpus minor Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3968 Dracontium loretense Species Araceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23642 Penicillium tardum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO230 Palisota barteri Species Commelinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7536 Mycoplasma mycoides Species Mycoplasmataceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO9166 Monascus rubropunctatus Species Fellodistomidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2393 Matsumurella chinensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO43 Leifsonia aquatica Species Microbacteriaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO964 Homalium laurifolium Species Salicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12383 Frullania brasiliensis Species Frullaniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6428 Euphorbia wangii Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6544 Carpesium longifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7158 Schefflera venulosa Species Araliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7158 Schefflera venulosa Species Araliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6544 Carpesium longifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12383 Frullania brasiliensis Species Frullaniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27487 Silene banksia Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6428 Euphorbia wangii Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4251 Photorhabdus luminescens Species Morganellaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO12383 Frullania brasiliensis Species Frullaniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12125 Pseudomonas stutzeri Species Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO2393 Matsumurella chinensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6544 Carpesium longifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23642 Penicillium tardum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12488 Bupleurum rigidum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7158 Schefflera venulosa Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO876 Didymosphaeria enalia Species Didymosphaeriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9166 Monascus rubropunctatus Species Fellodistomidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10274 Pothomorphe peltata n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO3968 Dracontium loretense Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10459 Brickellia longifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8639 Agaricus xanthodermus Species Agaricaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2840 Podocarpus minor Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO964 Homalium laurifolium Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9950 Coelogyne nitida Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO230 Palisota barteri Species Commelinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11511 Cochlearia officinalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO43 Leifsonia aquatica Species Microbacteriaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO6880 Crocus corsicus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6648 Piper retrofractum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13059 Abies webbiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10666 Verbesina virginica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27487 Silene banksia Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11137 Dichotomanthes tristaniicarpa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7536 Mycoplasma mycoides Species Mycoplasmataceae Bacteria 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 NPC135155 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
0.8654 High Similarity NPC182147
0.8654 High Similarity NPC207541
0.8654 High Similarity NPC246133
0.7857 Intermediate Similarity NPC251466
0.7241 Intermediate Similarity NPC473463
0.7049 Intermediate Similarity NPC170583
0.6885 Remote Similarity NPC282477
0.6885 Remote Similarity NPC284855
0.6667 Remote Similarity NPC71105
0.6607 Remote Similarity NPC300955
0.6562 Remote Similarity NPC41331
0.6562 Remote Similarity NPC291449
0.6452 Remote Similarity NPC152186
0.6349 Remote Similarity NPC156944
0.5692 Remote Similarity NPC191302
0.5538 Remote Similarity NPC99798
0.5312 Remote Similarity NPC157740
0.5217 Remote Similarity NPC147247
0.5192 Remote Similarity NPC127326
0.5161 Remote Similarity NPC94280
0.5085 Remote Similarity NPC199209
0.5079 Remote Similarity NPC255817
0.5079 Remote Similarity NPC136330

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC135155 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
0.5079 Remote Similarity NPD2492 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