Natural Product: NPC86422

Natural Product IDNPC86422
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VLFUANNVMXKBPF-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14423519
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 VLFUANNVMXKBPF-UHFFFAOYSA-N
Standard InCHI InChI=1S/C30H48O2/c1-19-10-15-30(18-31)17-16-28(6)21(25(30)20(19)2)8-9-23-27(5)13-12-24(32)26(3,4)22(27)11-14-29(23,28)7/h8,18-20,22-25,32H,9-17H2,1-7H3
SMILES CC1CCC2(CCC3(C)C(=CCC4C5(C)CCC(C(C)(C)C5CCC34C)O)C2C1C)C=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.37 Volume:   496.961
?
Van der Waals volume.
Dense:   0.886 LogP:   5.193
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.399
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.222
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.346 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.909 Fsp3:   0.9
MCE-18:   99.965
?
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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.666 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.044
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.011
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.379 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.028 MDCK Permeability:   -4.777
Pgp-inhibitor:   0.078 Pgp-substrate:   0.01
PAMPA:   0.073
?
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):   0.004
20% Bioavailability (F20%):   0.009 30% Bioavailability (F30%):   0.057
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.989 MRP1:   0.998
Plasma Protein Binding (PPB):   84.239% Volume Distribution (VD):   0.089
Fu: 20.821%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.002
OATP1B3 inhibitor:   0.776 BCRP inhibitor:   0.062
BSEP inhibitor:   0.977

ADMET: Metabolism

CYP1A2-inhibitor:   0.703 CYP1A2-substrate:   0.032
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.707
CYP2C9-inhibitor:   0.981 CYP2C9-substrate:   0.027
CYP2D6-inhibitor:   0.132 CYP2D6-substrate:   0.368
CYP3A4-inhibitor:   0.201 CYP3A4-substrate:   0.014
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.884
HLM stability:   0.996
?
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):  12.733 Half-life (T1/2):  0.722

ADMET: Toxicity

hERG Blockers:  0.1 hERG Blockers (10um):  0.653
Human Hepatotoxicity (H-HT):  0.395 Drug-induced Liver Injury (DILI):  0.115
AMES Toxicity:  0.138 Rat Oral Acute Toxicity:  0.127
Maximum Recommended Daily Dose:  0.826 Skin Sensitization:  0.294
Carcinogencity:  0.497 Eye Corrosion:  0.004
Eye Irritation:  0.115 Respiratory Toxicity:  0.74
Drug-induced Neurotoxicity:  0.521 Ototoxicity:  0.881
Hematotoxicity:  0.165 Drug-induced Nephrotoxicity:  0.057
Genotoxicity:  0.005 RPMI-8226 Immunitoxicity:  0.046
A549 Cytotoxicity:  0.513 Hek293 Cytotoxicity:  0.514
BCF:   2.189
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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:   4.969
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.108
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.744
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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
NPO14179 Campsis radicans Species Bignoniaceae Eukaryota n.a. n.a. n.a. PMID[36201048]
NPO29352 Uncaria sinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10597 Fructus syzygii n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO2028 Campsis grandiflora Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29352 Uncaria sinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10597 Fructus syzygii n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO10597 Fructus syzygii n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO29352 Uncaria sinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2028 Campsis grandiflora Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2028 Campsis grandiflora Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29352 Uncaria sinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29352 Uncaria sinensis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14179 Campsis radicans Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2028 Campsis grandiflora Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2028 Campsis grandiflora Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29352 Uncaria sinensis Species Rubiaceae 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 NPC86422 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 NPC95594
0.7963 Intermediate Similarity NPC27765
0.7963 Intermediate Similarity NPC122418
0.7963 Intermediate Similarity NPC491014
0.7797 Intermediate Similarity NPC477579
0.7627 Intermediate Similarity NPC40552
0.7414 Intermediate Similarity NPC40394
0.7119 Intermediate Similarity NPC235341
0.6949 Remote Similarity NPC132478
0.6441 Remote Similarity NPC120098
0.6167 Remote Similarity NPC290598
0.6167 Remote Similarity NPC30590
0.6032 Remote Similarity NPC291379
0.597 Remote Similarity NPC307335
0.597 Remote Similarity NPC74855
0.5938 Remote Similarity NPC602872
0.5821 Remote Similarity NPC610937
0.5758 Remote Similarity NPC246708
0.5735 Remote Similarity NPC51700
0.5735 Remote Similarity NPC88716
0.5735 Remote Similarity NPC68160
0.5735 Remote Similarity NPC195019
0.5652 Remote Similarity NPC18872
0.5652 Remote Similarity NPC290614
0.5625 Remote Similarity NPC101475
0.5571 Remote Similarity NPC49776
0.5571 Remote Similarity NPC63118
0.5571 Remote Similarity NPC474436
0.5556 Remote Similarity NPC82477
0.5538 Remote Similarity NPC290495
0.5507 Remote Similarity NPC171203
0.5507 Remote Similarity NPC307426
0.5507 Remote Similarity NPC98442
0.5507 Remote Similarity NPC242468
0.5488 Remote Similarity NPC477292
0.5455 Remote Similarity NPC470588
0.5441 Remote Similarity NPC479748
0.5362 Remote Similarity NPC272075
0.5362 Remote Similarity NPC86372
0.5303 Remote Similarity NPC253807
0.5303 Remote Similarity NPC158662
0.5294 Remote Similarity NPC606009
0.5294 Remote Similarity NPC610552
0.5286 Remote Similarity NPC7260
0.5286 Remote Similarity NPC210037
0.5286 Remote Similarity NPC120968
0.5286 Remote Similarity NPC488519
0.5286 Remote Similarity NPC227467
0.5286 Remote Similarity NPC273621
0.5286 Remote Similarity NPC112866
0.5217 Remote Similarity NPC127855
0.5217 Remote Similarity NPC477872
0.5152 Remote Similarity NPC311078
0.5152 Remote Similarity NPC34177
0.5152 Remote Similarity NPC196753
0.5143 Remote Similarity NPC480946
0.5143 Remote Similarity NPC187722
0.5143 Remote Similarity NPC274330
0.5143 Remote Similarity NPC130577
0.5143 Remote Similarity NPC142415
0.5143 Remote Similarity NPC102683
0.5143 Remote Similarity NPC304285
0.5143 Remote Similarity NPC2539
0.5143 Remote Similarity NPC329943
0.5132 Remote Similarity NPC171208
0.507 Remote Similarity NPC182797
0.507 Remote Similarity NPC52169
0.507 Remote Similarity NPC488562
0.507 Remote Similarity NPC606443

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC86422 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
NPD

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