Natural Product: NPC96580

Natural Product IDNPC96580
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GZTXRAOZNVKIDQ-ZOGWWOATSA-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: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 GZTXRAOZNVKIDQ-ZOGWWOATSA-N
Standard InCHI InChI=1S/C33H52O4/c1-27(2)15-17-33(26(34)35)18-16-31(7)21(22(33)19-27)9-10-24-29(5)13-12-25-30(6,20-36-28(3,4)37-25)23(29)11-14-32(24,31)8/h9,22-25H,10-20H2,1-8H3,(H,34,35)/t22-,23+,24+,25-,29-,30-,31+,32+,33-/m0/s1
SMILES CC1(C)CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CC[C@H]6[C@@](C)(COC(C)(C)O6)[C@@H]5CC[C@@]34C)[C@@H]2C1)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   512.39 Volume:   557.873
?
Van der Waals volume.
Dense:   0.918 LogP:   4.162
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.612
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.157
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   32.0
TPSA:   55.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.362 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.938 Fsp3:   0.909
MCE-18:   121.429
?
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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.834 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.414 Promiscuous compounds:   0.093

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.259 MDCK Permeability:   -4.883
Pgp-inhibitor:   0.023 Pgp-substrate:   0.0
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):   0.0
20% Bioavailability (F20%):   0.179 30% Bioavailability (F30%):   0.003
50% Bioavailability (F50%):   0.812

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.907 MRP1:   0.94
Plasma Protein Binding (PPB):   96.662% Volume Distribution (VD):   -0.313
Fu: 4.079%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.202 BCRP inhibitor:   0.044
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.951 CYP2C19-substrate:   0.224
CYP2C9-inhibitor:   0.127 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.142 CYP3A4-substrate:   0.014
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.053
HLM stability:   0.73
?
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):  4.354 Half-life (T1/2):  0.651

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.069
Human Hepatotoxicity (H-HT):  0.884 Drug-induced Liver Injury (DILI):  0.861
AMES Toxicity:  0.414 Rat Oral Acute Toxicity:  0.722
Maximum Recommended Daily Dose:  0.112 Skin Sensitization:  0.766
Carcinogencity:  0.988 Eye Corrosion:  0.021
Eye Irritation:  0.397 Respiratory Toxicity:  0.91
Drug-induced Neurotoxicity:  0.005 Ototoxicity:  0.741
Hematotoxicity:  0.2 Drug-induced Nephrotoxicity:  0.531
Genotoxicity:  0.287 RPMI-8226 Immunitoxicity:  0.004
A549 Cytotoxicity:  0.025 Hek293 Cytotoxicity:  0.189
BCF:   2.071
?
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:   4.452
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.694
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.24
?
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
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Henan province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Gansu province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Anhui province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Shanxi province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Shandong province, China DOI[10.1016/j.foodres.2020.109416]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. DOI[10.2174/092986712800229032]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. PMID[19402674]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[19721258]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[19772486]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[20806783]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21782011]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[22190295]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[26838074]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[27313650]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. root n.a. PMID[27429639]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[29741372]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds HeZe, ShanDong, China early autumn (from August to the beginning of September PMID[32545196]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Roots n.a. n.a. PMID[32951423]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota Seeds Xinjiang,China PMID[33063333]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9798 Paeonia lactiflora Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9798 Paeonia lactiflora Species Paeoniaceae 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
NPT203 Individual protein Carboxylesterase 2 Homo sapiens IC50 = 1900.0 nM PMID[32951423]
NPT166 Individual protein Acyl coenzyme A:cholesterol acyltransferase Homo sapiens IC50 = 100.0 nM PMID[32951423]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT2 Others Unspecified n.a. Ratio IC50 = 30.0 n.a. PMID[32951423]
NPT842 Organism Leishmania mexicana Leishmania mexicana ED50 = 83.6 uM PMID[37859723]

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 NPC96580 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
0.8028 Intermediate Similarity NPC478836
0.6901 Remote Similarity NPC120840
0.6377 Remote Similarity NPC604575
0.625 Remote Similarity NPC480946
0.625 Remote Similarity NPC130577
0.625 Remote Similarity NPC142415
0.625 Remote Similarity NPC102683
0.6092 Remote Similarity NPC475611
0.6081 Remote Similarity NPC158141
0.6024 Remote Similarity NPC283849
0.6024 Remote Similarity NPC28198
0.6024 Remote Similarity NPC476123
0.6 Remote Similarity NPC200752
0.5974 Remote Similarity NPC296164
0.5946 Remote Similarity NPC270768
0.5946 Remote Similarity NPC59263
0.5946 Remote Similarity NPC210106
0.5921 Remote Similarity NPC474963
0.5904 Remote Similarity NPC204407
0.5875 Remote Similarity NPC23241
0.5833 Remote Similarity NPC606107
0.5814 Remote Similarity NPC100383
0.5789 Remote Similarity NPC298554
0.5769 Remote Similarity NPC158347
0.5753 Remote Similarity NPC280654
0.5733 Remote Similarity NPC275809
0.5733 Remote Similarity NPC84319
0.5733 Remote Similarity NPC156981
0.5733 Remote Similarity NPC52021
0.5733 Remote Similarity NPC599947
0.5698 Remote Similarity NPC286347
0.5682 Remote Similarity NPC284807
0.5682 Remote Similarity NPC473538
0.5658 Remote Similarity NPC231063
0.5658 Remote Similarity NPC282395
0.5658 Remote Similarity NPC481360
0.5658 Remote Similarity NPC110308
0.5625 Remote Similarity NPC474727
0.5618 Remote Similarity NPC191410
0.5584 Remote Similarity NPC478841
0.5584 Remote Similarity NPC488166
0.5526 Remote Similarity NPC282616
0.5526 Remote Similarity NPC37038
0.5506 Remote Similarity NPC294112
0.5455 Remote Similarity NPC106112
0.5455 Remote Similarity NPC261935
0.5385 Remote Similarity NPC475472
0.5376 Remote Similarity NPC136877
0.5375 Remote Similarity NPC488521
0.5326 Remote Similarity NPC22676
0.5326 Remote Similarity NPC270667
0.5326 Remote Similarity NPC164194
0.5325 Remote Similarity NPC182797
0.5325 Remote Similarity NPC52169
0.5325 Remote Similarity NPC488562
0.5319 Remote Similarity NPC174679
0.5319 Remote Similarity NPC279554
0.5319 Remote Similarity NPC56713
0.5319 Remote Similarity NPC59804
0.5301 Remote Similarity NPC481362
0.5263 Remote Similarity NPC127056
0.525 Remote Similarity NPC608622
0.5213 Remote Similarity NPC12288
0.5208 Remote Similarity NPC6377
0.5208 Remote Similarity NPC488561
0.5208 Remote Similarity NPC208381
0.5208 Remote Similarity NPC610795
0.5195 Remote Similarity NPC198664
0.5158 Remote Similarity NPC25605
0.5128 Remote Similarity NPC121798
0.5128 Remote Similarity NPC234346
0.5125 Remote Similarity NPC485589
0.5104 Remote Similarity NPC114441
0.5104 Remote Similarity NPC109079
0.5102 Remote Similarity NPC469945
0.506 Remote Similarity NPC485588
0.5052 Remote Similarity NPC472949
0.505 Remote Similarity NPC73829

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC96580 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