Natural Product: NPC321092

Natural Product IDNPC321092
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
URRZRRQMNMZIAP-HCNDJNKRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5321407
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 URRZRRQMNMZIAP-HCNDJNKRSA-N
Standard InCHI InChI=1S/C30H50O3/c1-25(2)16-20-19-8-9-22-27(4)12-11-23(32)28(5,18-31)21(27)10-13-30(22,7)29(19,6)15-14-26(20,3)17-24(25)33/h8,20-24,31-33H,9-18H2,1-7H3/t20-,21?,22?,23-,24?,26-,27-,28+,29?,30+/m0/s1
SMILES CC1(CC2C3=CCC4C5(CCC(C(C5CCC4(C3(CCC2(CC1O)C)C)C)(C)CO)O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.38 Volume:   508.388
?
Van der Waals volume.
Dense:   0.902 LogP:   3.894
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.914
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.904
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   26.0
TPSA:   60.69
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.415 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.929 Fsp3:   0.933
MCE-18:   104.897
?
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:   0.121 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.005
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.439 Promiscuous compounds:   0.006

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.921 MDCK Permeability:   -4.713
Pgp-inhibitor:   0.001 Pgp-substrate:   0.845
PAMPA:   0.967
?
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):   0.228
20% Bioavailability (F20%):   0.931 30% Bioavailability (F30%):   0.934
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.826 MRP1:   0.998
Plasma Protein Binding (PPB):   75.342% Volume Distribution (VD):   -0.128
Fu: 22.545%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.027
OATP1B3 inhibitor:   0.674 BCRP inhibitor:   0.066
BSEP inhibitor:   0.509

ADMET: Metabolism

CYP1A2-inhibitor:   0.11 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.093
CYP2C9-inhibitor:   0.26 CYP2C9-substrate:   0.037
CYP2D6-inhibitor:   0.307 CYP2D6-substrate:   0.126
CYP3A4-inhibitor:   0.976 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.677 CYP2C8-inhibitor:   0.871
HLM stability:   0.991
?
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):  16.67 Half-life (T1/2):  1.348

ADMET: Toxicity

hERG Blockers:  0.111 hERG Blockers (10um):  0.556
Human Hepatotoxicity (H-HT):  0.322 Drug-induced Liver Injury (DILI):  0.02
AMES Toxicity:  0.094 Rat Oral Acute Toxicity:  0.098
Maximum Recommended Daily Dose:  0.73 Skin Sensitization:  0.261
Carcinogencity:  0.346 Eye Corrosion:  0.0
Eye Irritation:  0.11 Respiratory Toxicity:  0.447
Drug-induced Neurotoxicity:  0.245 Ototoxicity:  0.927
Hematotoxicity:  0.061 Drug-induced Nephrotoxicity:  0.023
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.026
A549 Cytotoxicity:  0.334 Hek293 Cytotoxicity:  0.468
BCF:   2.128
?
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:   4.718
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.073
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.47
?
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
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. Wrocław, Poland 2004–2005 DOI[10.1016/J.FOODCHEM.2006.08.014]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. retail stores, supermarkets and market stalls in Forssa and in the Helsinki area 2003–2005 DOI[10.1016/j.jfca.2006.05.007]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0021-9258(18)90865-3]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0168-9452(02)00136-X]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0168-9452(02)00136-X]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1021/jf950732o]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1023/A:1024390522259]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[10775096]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. root n.a. PMID[1622242]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[16659156]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[16668466]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[18460139]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[20963508]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[22537213]
NPO7635 Glycine max Species Fabaceae Eukaryota Seeds Tekirdag, Turkey PMID[24499198]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25053043]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25070365]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. seed n.a. PMID[25369450]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[25369450]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Testa n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Sprout Seedling n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Pericarp n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Oil n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Hypocotyl n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota Cotyledon n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. seed n.a. Database[MetaboLights]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[MetaboLights]
NPO7635 Glycine max Species Fabaceae Eukaryota Seeds n.a. Database[Phenol-Explorer]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7635 Glycine max Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7635 Glycine max 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 NPC321092 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
0.7857 Intermediate Similarity NPC196753
0.7 Intermediate Similarity NPC230295
0.7 Intermediate Similarity NPC253402
0.7 Intermediate Similarity NPC53744
0.7 Intermediate Similarity NPC98386
0.6885 Remote Similarity NPC133954
0.6667 Remote Similarity NPC263393
0.6562 Remote Similarity NPC213412
0.6441 Remote Similarity NPC290598
0.6441 Remote Similarity NPC30590
0.619 Remote Similarity NPC159168
0.6129 Remote Similarity NPC101475
0.6032 Remote Similarity NPC478657
0.597 Remote Similarity NPC229281
0.5873 Remote Similarity NPC311078
0.5781 Remote Similarity NPC235341
0.5781 Remote Similarity NPC253807
0.5781 Remote Similarity NPC158662
0.5735 Remote Similarity NPC270768
0.5735 Remote Similarity NPC59263
0.5735 Remote Similarity NPC210106
0.5735 Remote Similarity NPC121798
0.5735 Remote Similarity NPC234346
0.5714 Remote Similarity NPC474989
0.5714 Remote Similarity NPC191412
0.5714 Remote Similarity NPC114159
0.5714 Remote Similarity NPC6818
0.5652 Remote Similarity NPC61543
0.5652 Remote Similarity NPC293048
0.5652 Remote Similarity NPC225585
0.5645 Remote Similarity NPC27765
0.5645 Remote Similarity NPC122418
0.5645 Remote Similarity NPC491014
0.5556 Remote Similarity NPC116457
0.5541 Remote Similarity NPC258547
0.5522 Remote Similarity NPC246708
0.5507 Remote Similarity NPC171203
0.5507 Remote Similarity NPC307426
0.5507 Remote Similarity NPC98442
0.5507 Remote Similarity NPC242468
0.5417 Remote Similarity NPC127689
0.5417 Remote Similarity NPC130520
0.5385 Remote Similarity NPC237344
0.5385 Remote Similarity NPC34177
0.5316 Remote Similarity NPC237503
0.5303 Remote Similarity NPC40394
0.5286 Remote Similarity NPC7260
0.5286 Remote Similarity NPC210037
0.5286 Remote Similarity NPC120968
0.5286 Remote Similarity NPC227467
0.5286 Remote Similarity NPC273621
0.5224 Remote Similarity NPC470588
0.5205 Remote Similarity NPC294360
0.5143 Remote Similarity NPC187722
0.5143 Remote Similarity NPC610937
0.5139 Remote Similarity NPC49776
0.5139 Remote Similarity NPC63118
0.5139 Remote Similarity NPC474436
0.5075 Remote Similarity NPC475862
0.507 Remote Similarity NPC182797
0.507 Remote Similarity NPC488519
0.507 Remote Similarity NPC52169
0.507 Remote Similarity NPC488562

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC321092 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
0.6462 Remote Similarity NPD7645 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