Natural Product: NPC40888

Natural Product IDNPC40888
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HCISIQALOMLBND-LLUAOXPXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 10576408
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 HCISIQALOMLBND-LLUAOXPXSA-N
Standard InCHI InChI=1S/C30H48O4/c1-25(2)16-19-18-8-9-21-27(5)12-11-22(31)26(3,4)20(27)10-13-29(21,7)28(18,6)14-15-30(19,24(33)34)23(32)17-25/h8,19-23,31-32H,9-17H2,1-7H3,(H,33,34)/p-1/t19-,20-,21+,22-,23-,27-,28+,29+,30-/m0/s1
SMILES CC1(C)C[C@H]2C3=CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]4(C)[C@]3(C)CC[C@]2([C@H](C1)O)C(=O)[O-])O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
?
Van der Waals volume.
Dense:   0.918 LogP:   3.872
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.759
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.939
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.397 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.797 Fsp3:   0.9
MCE-18:   108.07
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.646 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.018
?
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:   0.361 Promiscuous compounds:   0.084

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.498 MDCK Permeability:   -5.09
Pgp-inhibitor:   0.005 Pgp-substrate:   0.014
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):   0.005
20% Bioavailability (F20%):   0.699 30% Bioavailability (F30%):   0.102
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.777 MRP1:   0.95
Plasma Protein Binding (PPB):   92.533% Volume Distribution (VD):   -0.354
Fu: 6.679%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.934 BCRP inhibitor:   0.049
BSEP inhibitor:   0.837

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.031 CYP2C19-substrate:   0.454
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.148
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.047
HLM stability:   0.142
?
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):  4.412 Half-life (T1/2):  1.015

ADMET: Toxicity

hERG Blockers:  0.018 hERG Blockers (10um):  0.058
Human Hepatotoxicity (H-HT):  0.671 Drug-induced Liver Injury (DILI):  0.531
AMES Toxicity:  0.344 Rat Oral Acute Toxicity:  0.576
Maximum Recommended Daily Dose:  0.483 Skin Sensitization:  0.961
Carcinogencity:  0.949 Eye Corrosion:  0.054
Eye Irritation:  0.699 Respiratory Toxicity:  0.936
Drug-induced Neurotoxicity:  0.07 Ototoxicity:  0.593
Hematotoxicity:  0.583 Drug-induced Nephrotoxicity:  0.941
Genotoxicity:  0.78 RPMI-8226 Immunitoxicity:  0.038
A549 Cytotoxicity:  0.368 Hek293 Cytotoxicity:  0.237
BCF:   1.354
?
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:   3.879
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.474
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.777
?
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
NPO10980 Petasites japonicus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10980 Petasites japonicus Species Asteraceae Eukaryota Pt n.a. n.a. Database[FooDB]
NPO10980 Petasites japonicus Species Asteraceae Eukaryota n.a. n.a. Database[FooDB]
NPO10980 Petasites japonicus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10980 Petasites japonicus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10980 Petasites japonicus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10980 Petasites japonicus Species Asteraceae 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 NPC40888 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
0.6866 Remote Similarity NPC480946
0.6866 Remote Similarity NPC130577
0.6866 Remote Similarity NPC142415
0.6866 Remote Similarity NPC102683
0.6571 Remote Similarity NPC228784
0.6571 Remote Similarity NPC324341
0.6571 Remote Similarity NPC601810
0.6286 Remote Similarity NPC182797
0.6286 Remote Similarity NPC306541
0.6286 Remote Similarity NPC52169
0.6286 Remote Similarity NPC195019
0.6286 Remote Similarity NPC488562
0.6286 Remote Similarity NPC606443
0.6143 Remote Similarity NPC187722
0.6056 Remote Similarity NPC290972
0.589 Remote Similarity NPC202728
0.589 Remote Similarity NPC158059
0.589 Remote Similarity NPC293564
0.5833 Remote Similarity NPC270768
0.5833 Remote Similarity NPC59263
0.5833 Remote Similarity NPC210106
0.5833 Remote Similarity NPC51700
0.5833 Remote Similarity NPC88716
0.5833 Remote Similarity NPC68160
0.5833 Remote Similarity NPC112866
0.5823 Remote Similarity NPC603645
0.5775 Remote Similarity NPC477872
0.5694 Remote Similarity NPC198664
0.5676 Remote Similarity NPC145667
0.5676 Remote Similarity NPC298554
0.5616 Remote Similarity NPC171203
0.5616 Remote Similarity NPC84319
0.5616 Remote Similarity NPC307426
0.5616 Remote Similarity NPC98442
0.5616 Remote Similarity NPC52021
0.5616 Remote Similarity NPC242468
0.5616 Remote Similarity NPC599947
0.5522 Remote Similarity NPC290598
0.5522 Remote Similarity NPC30590
0.5513 Remote Similarity NPC474727
0.5507 Remote Similarity NPC311078
0.5479 Remote Similarity NPC96916
0.5467 Remote Similarity NPC29765
0.5455 Remote Similarity NPC222047
0.5429 Remote Similarity NPC235341
0.5405 Remote Similarity NPC7260
0.5405 Remote Similarity NPC210037
0.5405 Remote Similarity NPC120968
0.5405 Remote Similarity NPC121798
0.5405 Remote Similarity NPC64872
0.5405 Remote Similarity NPC25906
0.5405 Remote Similarity NPC234346
0.5405 Remote Similarity NPC227467
0.5405 Remote Similarity NPC273621
0.5294 Remote Similarity NPC27765
0.5294 Remote Similarity NPC122418
0.5294 Remote Similarity NPC491014
0.5286 Remote Similarity NPC101475
0.5286 Remote Similarity NPC34177
0.527 Remote Similarity NPC610937
0.5211 Remote Similarity NPC253807
0.5211 Remote Similarity NPC158662
0.5205 Remote Similarity NPC246708
0.52 Remote Similarity NPC282616
0.52 Remote Similarity NPC229281
0.5135 Remote Similarity NPC267691
0.5132 Remote Similarity NPC231063
0.5132 Remote Similarity NPC18872
0.5132 Remote Similarity NPC282395
0.5132 Remote Similarity NPC290614
0.5132 Remote Similarity NPC472149
0.5132 Remote Similarity NPC300351
0.5132 Remote Similarity NPC110308
0.5128 Remote Similarity NPC130520
0.5072 Remote Similarity NPC120098
0.5068 Remote Similarity NPC480950
0.5067 Remote Similarity NPC274330
0.5067 Remote Similarity NPC172361
0.5065 Remote Similarity NPC136697

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC40888 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