Natural Product: NPC325114

Natural Product IDNPC325114
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FWCXELAAYFYCSR-FHOGVIIHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5317637
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 FWCXELAAYFYCSR-FHOGVIIHSA-N
Standard InCHI InChI=1S/C27H44O4/c1-15-7-10-27(30-14-15)16(2)24-23(31-27)12-20-18-6-5-17-11-21(28)22(29)13-26(17,4)19(18)8-9-25(20,24)3/h15-24,28-29H,5-14H2,1-4H3/t15-,16?,17?,18?,19?,20?,21-,22?,23+,24?,25+,26+,27?/m1/s1
SMILES CC1CCC2(C(C3C(O2)CC4C3(CCC5C4CCC6C5(CC(C(C6)O)O)C)C)C)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   432.32 Volume:   459.37
?
Van der Waals volume.
Dense:   0.941 LogP:   3.929
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.973
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.47
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   30.0
TPSA:   58.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.579 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.384 Fsp3:   1.0
MCE-18:   142.519
?
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:   0.136 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.065
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.01
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.146 Promiscuous compounds:   0.012

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.129 MDCK Permeability:   -4.795
Pgp-inhibitor:   0.032 Pgp-substrate:   0.005
PAMPA:   0.061
?
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%):   0.012 30% Bioavailability (F30%):   0.043
50% Bioavailability (F50%):   0.842

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.955 MRP1:   0.999
Plasma Protein Binding (PPB):   92.041% Volume Distribution (VD):   0.553
Fu: 9.889%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.026
OATP1B3 inhibitor:   0.736 BCRP inhibitor:   0.011
BSEP inhibitor:   0.975

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.826 CYP2C19-substrate:   0.017
CYP2C9-inhibitor:   0.982 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.958 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.995 CYP2C8-inhibitor:   0.177
HLM stability:   0.778
?
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):  20.319 Half-life (T1/2):  2.174

ADMET: Toxicity

hERG Blockers:  0.369 hERG Blockers (10um):  0.825
Human Hepatotoxicity (H-HT):  0.641 Drug-induced Liver Injury (DILI):  0.145
AMES Toxicity:  0.179 Rat Oral Acute Toxicity:  0.224
Maximum Recommended Daily Dose:  0.827 Skin Sensitization:  0.055
Carcinogencity:  0.444 Eye Corrosion:  0.0
Eye Irritation:  0.02 Respiratory Toxicity:  0.592
Drug-induced Neurotoxicity:  0.485 Ototoxicity:  0.95
Hematotoxicity:  0.051 Drug-induced Nephrotoxicity:  0.042
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.063
A549 Cytotoxicity:  0.179 Hek293 Cytotoxicity:  0.548
BCF:   2.212
?
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:   4.687
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.896
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.426
?
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
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[11599360]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. seed n.a. PMID[21381697]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[37120447]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19672 Hosta sieboldiana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19672 Hosta sieboldiana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19672 Hosta sieboldiana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19672 Hosta sieboldiana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8210 Trigonella foenum-graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8976 Agave americana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19672 Hosta sieboldiana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8210 Trigonella foenum-graecum 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 NPC325114 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 NPC227260
0.7797 Intermediate Similarity NPC273290
0.7797 Intermediate Similarity NPC232044
0.7627 Intermediate Similarity NPC248944
0.7627 Intermediate Similarity NPC7479
0.7627 Intermediate Similarity NPC257296
0.6406 Remote Similarity NPC296734
0.6349 Remote Similarity NPC24556
0.6119 Remote Similarity NPC305808
0.6119 Remote Similarity NPC481427
0.5857 Remote Similarity NPC161035
0.5857 Remote Similarity NPC170438
0.5714 Remote Similarity NPC473774
0.5714 Remote Similarity NPC481418
0.5714 Remote Similarity NPC481419
0.5714 Remote Similarity NPC481417
0.5641 Remote Similarity NPC24960
0.5634 Remote Similarity NPC235126
0.5634 Remote Similarity NPC242419
0.5556 Remote Similarity NPC177818
0.5488 Remote Similarity NPC294686
0.5357 Remote Similarity NPC222731
0.5325 Remote Similarity NPC144790
0.5325 Remote Similarity NPC149400
0.5325 Remote Similarity NPC88962
0.5316 Remote Similarity NPC481420
0.5316 Remote Similarity NPC481421
0.5256 Remote Similarity NPC277715
0.5211 Remote Similarity NPC187159
0.5181 Remote Similarity NPC297348
0.5181 Remote Similarity NPC325828
0.5181 Remote Similarity NPC249204
0.5181 Remote Similarity NPC48339
0.5181 Remote Similarity NPC177834
0.5181 Remote Similarity NPC141769
0.5181 Remote Similarity NPC477547
0.5176 Remote Similarity NPC473616
0.5119 Remote Similarity NPC234352
0.5059 Remote Similarity NPC477451

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC325114 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
0.7627 Intermediate Similarity NPD6928 Phase 2
0.5385 Remote Similarity NPD7991 Discontinued
0.5181 Remote Similarity NPD8171 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