Natural Product: NPC269396

Natural Product IDNPC269396
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3Alpha-Hydroxylup-20(29)-En-30-Al
IUPAC Name 2-[(1R,3aR,5aR,5bR,7aR,9R,11aR,11bR,13aR,13bS)-9-hydroxy-3a,5a,5b,8,8,11a-hexamethyl-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysen-1-yl]prop-2-enal
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3109392
PubChem CID 76332076
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 RYHMCEZDZZBPAQ-ISZJTHHZSA-N
Standard InCHI InChI=1S/C30H48O2/c1-19(18-31)20-10-13-27(4)16-17-29(6)21(25(20)27)8-9-23-28(5)14-12-24(32)26(2,3)22(28)11-15-30(23,29)7/h18,20-25,32H,1,8-17H2,2-7H3/t20-,21+,22-,23+,24+,25+,27+,28-,29+,30+/m0/s1
SMILES C=C(C=O)[C@@H]1CC[C@]2(C)CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.37 Volume:   496.961
?
Van der Waals volume.
Dense:   0.886 LogP:   5.862
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.652
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.338
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   37.3
?
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:   0.364 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.897 Fsp3:   0.9
MCE-18:   101.263
?
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:   0.905 Fluc inhibitor:   0.001
?
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:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.558 Promiscuous compounds:   0.102

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.476 MDCK Permeability:   -5.032
Pgp-inhibitor:   0.874 Pgp-substrate:   0.032
PAMPA:   0.19
?
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%):   0.409 30% Bioavailability (F30%):   0.804
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.412 MRP1:   0.789
Plasma Protein Binding (PPB):   96.619% Volume Distribution (VD):   0.085
Fu: 3.587%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.658
BSEP inhibitor:   0.992

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.01
CYP2C19-inhibitor:   0.961 CYP2C19-substrate:   0.079
CYP2C9-inhibitor:   0.019 CYP2C9-substrate:   0.049
CYP2D6-inhibitor:   0.368 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.925
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.927
HLM stability:   0.934
?
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):  12.545 Half-life (T1/2):  0.509

ADMET: Toxicity

hERG Blockers:  0.044 hERG Blockers (10um):  0.153
Human Hepatotoxicity (H-HT):  0.473 Drug-induced Liver Injury (DILI):  0.223
AMES Toxicity:  0.387 Rat Oral Acute Toxicity:  0.233
Maximum Recommended Daily Dose:  0.737 Skin Sensitization:  0.917
Carcinogencity:  0.937 Eye Corrosion:  0.318
Eye Irritation:  0.88 Respiratory Toxicity:  0.883
Drug-induced Neurotoxicity:  0.033 Ototoxicity:  0.345
Hematotoxicity:  0.454 Drug-induced Nephrotoxicity:  0.622
Genotoxicity:  0.746 RPMI-8226 Immunitoxicity:  0.062
A549 Cytotoxicity:  0.129 Hek293 Cytotoxicity:  0.491
BCF:   2.0
?
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:   4.535
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.83
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.402
?
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
NPO33010 euonymus carnosus Species Celastraceae Eukaryota Plant n.a. n.a. PMID[24467317]

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
NPT179 Cell line A2780 Homo sapiens IC50 > 10000.0 nM PubChem BioAssay data set
NPT81 Cell line A549 Homo sapiens IC50 > 10000.0 nM PMID[19908853]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[24467317]

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 NPC269396 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
0.82 Intermediate Similarity NPC192638
0.82 Intermediate Similarity NPC25511
0.82 Intermediate Similarity NPC600137
0.7736 Intermediate Similarity NPC248830
0.7736 Intermediate Similarity NPC212241
0.7143 Intermediate Similarity NPC74595
0.7143 Intermediate Similarity NPC264665
0.7037 Intermediate Similarity NPC97534
0.7037 Intermediate Similarity NPC195155
0.6792 Remote Similarity NPC142712
0.6667 Remote Similarity NPC159497
0.6667 Remote Similarity NPC480925
0.6667 Remote Similarity NPC48079
0.661 Remote Similarity NPC12774
0.6607 Remote Similarity NPC301226
0.6491 Remote Similarity NPC231256
0.6491 Remote Similarity NPC178383
0.6316 Remote Similarity NPC144075
0.6316 Remote Similarity NPC202540
0.629 Remote Similarity NPC607755
0.6271 Remote Similarity NPC246956
0.6271 Remote Similarity NPC119355
0.6167 Remote Similarity NPC298168
0.6167 Remote Similarity NPC143133
0.6102 Remote Similarity NPC93662
0.6034 Remote Similarity NPC104387
0.6034 Remote Similarity NPC240235
0.6034 Remote Similarity NPC14112
0.6032 Remote Similarity NPC483720
0.6 Remote Similarity NPC57469
0.5965 Remote Similarity NPC80297
0.5965 Remote Similarity NPC475727
0.5965 Remote Similarity NPC116119
0.5926 Remote Similarity NPC232112
0.5873 Remote Similarity NPC472739
0.5862 Remote Similarity NPC185536
0.5862 Remote Similarity NPC102708
0.5833 Remote Similarity NPC5767
0.5833 Remote Similarity NPC475742
0.5763 Remote Similarity NPC91573
0.569 Remote Similarity NPC606606
0.5667 Remote Similarity NPC42853
0.5667 Remote Similarity NPC237460
0.5645 Remote Similarity NPC103754
0.5645 Remote Similarity NPC126993
0.5593 Remote Similarity NPC43300
0.5574 Remote Similarity NPC296701
0.5574 Remote Similarity NPC218616
0.5507 Remote Similarity NPC475416
0.55 Remote Similarity NPC78067
0.55 Remote Similarity NPC278091
0.5484 Remote Similarity NPC305835
0.5469 Remote Similarity NPC471900
0.5469 Remote Similarity NPC175410
0.541 Remote Similarity NPC58631
0.5385 Remote Similarity NPC201406
0.5385 Remote Similarity NPC289486
0.5385 Remote Similarity NPC264317
0.5385 Remote Similarity NPC294438
0.5323 Remote Similarity NPC211009
0.5323 Remote Similarity NPC201725
0.5312 Remote Similarity NPC49599
0.5312 Remote Similarity NPC49627
0.5303 Remote Similarity NPC481321
0.5303 Remote Similarity NPC112009
0.5303 Remote Similarity NPC33768
0.5254 Remote Similarity NPC35652
0.5246 Remote Similarity NPC245869
0.5231 Remote Similarity NPC477578
0.5231 Remote Similarity NPC477577
0.5217 Remote Similarity NPC488165
0.5152 Remote Similarity NPC611062
0.5147 Remote Similarity NPC16377
0.5079 Remote Similarity NPC602784
0.5077 Remote Similarity NPC603388

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC269396 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
0.5385 Remote Similarity NPD7520 Phase 1

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