Natural Product: NPC106402

Natural Product IDNPC106402
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KEECBJMOPMMMOY-UMSFTDKQSA-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:0000050] Lactones
        • [CHEMONTID:0001245] Gamma butyrolactones

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 KEECBJMOPMMMOY-UMSFTDKQSA-N
Standard InCHI InChI=1S/C35H68O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24-25-26-27-28-29-30-31-34-32-33-35(36)37-34/h34H,2-33H2,1H3/t34-/m0/s1
SMILES CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC[C@H]1CCC(=O)O1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   520.52 Volume:   620.303
?
Van der Waals volume.
Dense:   0.839 LogP:   7.953
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.598
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.496
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   30.0 Rigid Bonds:   6.0
TPSA:   26.3
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   1.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.069 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.693 Fsp3:   0.971
MCE-18:   10.435
?
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:   0.647 Fluc inhibitor:   0.341
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.017
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.985 Promiscuous compounds:   0.393

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.096 MDCK Permeability:   -5.021
Pgp-inhibitor:   0.001 Pgp-substrate:   0.014
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):   0.997
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   105.335% Volume Distribution (VD):   2.989
Fu: 0.077%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.943
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   1.0
BSEP inhibitor:   0.966

ADMET: Metabolism

CYP1A2-inhibitor:   0.018 CYP1A2-substrate:   0.821
CYP2C19-inhibitor:   0.241 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.724 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.803 CYP2D6-substrate:   0.827
CYP3A4-inhibitor:   0.018 CYP3A4-substrate:   0.902
CYP2B6-substrate:   0.888 CYP2C8-inhibitor:   1.0
HLM stability:   0.527
?
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):  3.988 Half-life (T1/2):  4.738

ADMET: Toxicity

hERG Blockers:  0.872 hERG Blockers (10um):  0.956
Human Hepatotoxicity (H-HT):  0.563 Drug-induced Liver Injury (DILI):  0.273
AMES Toxicity:  0.012 Rat Oral Acute Toxicity:  0.048
Maximum Recommended Daily Dose:  0.388 Skin Sensitization:  1.0
Carcinogencity:  0.194 Eye Corrosion:  0.992
Eye Irritation:  0.999 Respiratory Toxicity:  0.989
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.062
Hematotoxicity:  0.078 Drug-induced Nephrotoxicity:  0.231
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.046
A549 Cytotoxicity:  0.988 Hek293 Cytotoxicity:  0.161
BCF:   -0.729
?
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:   4.671
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.803
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.124
?
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
NPO9785 Dictyota binghamiae Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10775 Verbascum fruticulosum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28130 Neonotonia wightii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3007 Heliotropium bovei Species Heliotropiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9785 Dictyota binghamiae Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7867 Cytisus caramanicus Species Fabaceae 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 NPC106402 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
1.0 High Similarity NPC63182
1.0 High Similarity NPC145045
1.0 High Similarity NPC52700
0.95 High Similarity NPC105329
0.9091 High Similarity NPC603863
0.8571 High Similarity NPC273545
0.8182 Intermediate Similarity NPC326957
0.7619 Intermediate Similarity NPC176500
0.7143 Intermediate Similarity NPC94368
0.6667 Remote Similarity NPC47363
0.6667 Remote Similarity NPC287231
0.6667 Remote Similarity NPC314084
0.6207 Remote Similarity NPC489810
0.6 Remote Similarity NPC478976
0.5517 Remote Similarity NPC23155
0.5455 Remote Similarity NPC321699
0.5333 Remote Similarity NPC609089
0.5294 Remote Similarity NPC481557
0.5294 Remote Similarity NPC481560
0.5294 Remote Similarity NPC481652
0.5294 Remote Similarity NPC481651
0.52 Remote Similarity NPC201622
0.52 Remote Similarity NPC305660
0.52 Remote Similarity NPC12156
0.52 Remote Similarity NPC161097
0.52 Remote Similarity NPC28598
0.52 Remote Similarity NPC22903
0.52 Remote Similarity NPC54980
0.5161 Remote Similarity NPC55678
0.5143 Remote Similarity NPC470436

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC106402 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
0.6667 Remote Similarity NPD2699 Pre-clinical
0.5161 Remote Similarity NPD6125 Phase 4

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