Natural Product: NPC222047

Natural Product IDNPC222047
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Quillaic Acid
IUPAC Name (4aR,5R,6aR,6aS,6bR,8aR,9S,10S,12aR,14bS)-9-formyl-5,10-dihydroxy-2,2,6a,6b,9,12a-hexamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid
Synonyms Quillaic Acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL260060
PubChem CID 101810
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 MQUFAARYGOUYEV-UAWZMHPWSA-N
Standard InCHI InChI=1S/C30H46O5/c1-25(2)13-14-30(24(34)35)19(15-25)18-7-8-21-26(3)11-10-22(32)27(4,17-31)20(26)9-12-28(21,5)29(18,6)16-23(30)33/h7,17,19-23,32-33H,8-16H2,1-6H3,(H,34,35)/t19-,20+,21+,22-,23+,26-,27-,28+,29+,30+/m0/s1
SMILES O=C[C@]1(C)[C@@H](O)CC[C@]2([C@H]1CC[C@@]1([C@@H]2CC=C2[C@@]1(C)C[C@@H](O)[C@@]1([C@H]2CC(CC1)(C)C)C(=O)O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.33 Volume:   520.695
?
Van der Waals volume.
Dense:   0.934 LogP:   3.106
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.212
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.539
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   28.0
TPSA:   94.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.36 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.047 Fsp3:   0.867
MCE-18:   108.571
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.681 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.36 Promiscuous compounds:   0.035

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.499 MDCK Permeability:   -5.128
Pgp-inhibitor:   0.003 Pgp-substrate:   0.003
PAMPA:   1.0
?
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):   0.001
20% Bioavailability (F20%):   0.499 30% Bioavailability (F30%):   0.019
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.927 MRP1:   0.684
Plasma Protein Binding (PPB):   93.729% Volume Distribution (VD):   -0.317
Fu: 6.202%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.116 BCRP inhibitor:   0.264
BSEP inhibitor:   0.99

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.936
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.042
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.154
HLM stability:   0.078
?
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):  2.276 Half-life (T1/2):  1.271

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.013
Human Hepatotoxicity (H-HT):  0.732 Drug-induced Liver Injury (DILI):  0.69
AMES Toxicity:  0.722 Rat Oral Acute Toxicity:  0.714
Maximum Recommended Daily Dose:  0.544 Skin Sensitization:  0.998
Carcinogencity:  0.982 Eye Corrosion:  0.006
Eye Irritation:  0.33 Respiratory Toxicity:  0.92
Drug-induced Neurotoxicity:  0.063 Ototoxicity:  0.585
Hematotoxicity:  0.797 Drug-induced Nephrotoxicity:  0.988
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.069
A549 Cytotoxicity:  0.551 Hek293 Cytotoxicity:  0.309
BCF:   1.001
?
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:   3.95
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.444
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.833
?
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
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[16880670]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[17409564]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota roots n.a. n.a. PMID[18194870]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. root n.a. PMID[21070025]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10187 Protoblastenia incrustans Species Psoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25660 Gypsophila oldhamiana Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10271 Psammosilene tunicoides Species Caryophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10820 Galium spurium 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
NPT191 Organism Hepatitis C virus Hepatitis C virus Inhibition = 0.0 % PMID[23662817]
NPT2 Others Unspecified n.a. IC50 = 59700.0 nM PMID[18194870]

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 NPC222047 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
0.8308 Intermediate Similarity NPC228784
0.8308 Intermediate Similarity NPC324341
0.8308 Intermediate Similarity NPC601810
0.7761 Intermediate Similarity NPC298554
0.6901 Remote Similarity NPC201657
0.6892 Remote Similarity NPC601365
0.6806 Remote Similarity NPC471588
0.64 Remote Similarity NPC6255
0.6338 Remote Similarity NPC480946
0.6338 Remote Similarity NPC130577
0.6338 Remote Similarity NPC142415
0.6338 Remote Similarity NPC102683
0.6267 Remote Similarity NPC187933
0.625 Remote Similarity NPC270768
0.625 Remote Similarity NPC59263
0.625 Remote Similarity NPC210106
0.6145 Remote Similarity NPC31839
0.6081 Remote Similarity NPC29765
0.6071 Remote Similarity NPC242611
0.573 Remote Similarity NPC76999
0.5676 Remote Similarity NPC198664
0.56 Remote Similarity NPC182797
0.56 Remote Similarity NPC282616
0.56 Remote Similarity NPC275809
0.56 Remote Similarity NPC121798
0.56 Remote Similarity NPC84319
0.56 Remote Similarity NPC234346
0.56 Remote Similarity NPC52021
0.56 Remote Similarity NPC52169
0.56 Remote Similarity NPC488562
0.56 Remote Similarity NPC599947
0.5526 Remote Similarity NPC231063
0.5526 Remote Similarity NPC282395
0.5526 Remote Similarity NPC110308
0.5426 Remote Similarity NPC488516
0.5395 Remote Similarity NPC64872
0.5395 Remote Similarity NPC25906
0.5395 Remote Similarity NPC606443
0.5368 Remote Similarity NPC80843
0.5325 Remote Similarity NPC130278
0.5325 Remote Similarity NPC158141
0.5325 Remote Similarity NPC481360
0.5319 Remote Similarity NPC480424
0.5309 Remote Similarity NPC474727
0.5256 Remote Similarity NPC209868
0.5238 Remote Similarity NPC603645
0.5181 Remote Similarity NPC188833
0.5135 Remote Similarity NPC604575
0.5128 Remote Similarity NPC106112
0.5128 Remote Similarity NPC261935
0.5125 Remote Similarity NPC130520
0.5065 Remote Similarity NPC187722
0.5063 Remote Similarity NPC202728
0.5063 Remote Similarity NPC158059
0.5063 Remote Similarity NPC200752
0.5063 Remote Similarity NPC120840
0.5063 Remote Similarity NPC136697
0.505 Remote Similarity NPC488515

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC222047 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