Natural Product: NPC486152

Natural Product IDNPC486152
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
AYRCTGHTWRPKRK-ZRRSMNOASA-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:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001555] Cardenolides and derivatives
            • [CHEMONTID:0001559] Cardenolide glycosides and derivatives

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 AYRCTGHTWRPKRK-ZRRSMNOASA-N
Standard InCHI InChI=1S/C42H64O20/c1-17-34(62-37-32(50)30(48)28(46)25(61-37)16-57-36-31(49)29(47)27(45)24(14-43)60-36)35(55-3)33(51)38(58-17)59-20-6-10-41(39(52)53)19(13-20)4-5-23-22(41)7-9-40(2)21(8-11-42(23,40)54)18-12-26(44)56-15-18/h12,17,19-25,27-38,43,45-51,54H,4-11,13-16H2,1-3H3,(H,52,53)/t17-,19-,20+,21-,22+,23-,24+,25-,27+,28-,29-,30+,31+,32-,33-,34-,35-,36+,37+,38-,40-,41-,42+/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@@H]([C@@H](O1)O[C@@H]1CC[C@@]2([C@@H](CC[C@H]3[C@H]2CC[C@@]2(C)[C@@H](CC[C@@]32O)C2=CC(=O)OC2)C1)C(=O)O)O)OC)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   888.4 Volume:   834.431
?
Van der Waals volume.
Dense:   1.065 LogP:   -1.385
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.171
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.38
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   45.0
TPSA:   310.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   10.0 Rings:   8.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.078 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.245 Fsp3:   0.905
MCE-18:   158.2
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.661 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
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:   0.159 Promiscuous compounds:   0.218

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.518 MDCK Permeability:   -5.327
Pgp-inhibitor:   0.0 Pgp-substrate:   0.874
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):   0.997
20% Bioavailability (F20%):   0.303 30% Bioavailability (F30%):   0.988
50% Bioavailability (F50%):   0.965

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.11
Plasma Protein Binding (PPB):   39.185% Volume Distribution (VD):   -0.515
Fu: 49.967%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  0.122 Half-life (T1/2):  3.671

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.961 Drug-induced Liver Injury (DILI):  0.985
AMES Toxicity:  0.973 Rat Oral Acute Toxicity:  0.021
Maximum Recommended Daily Dose:  0.168 Skin Sensitization:  1.0
Carcinogencity:  0.778 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.026
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.854 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.374
A549 Cytotoxicity:  0.853 Hek293 Cytotoxicity:  0.437
BCF:   0.507
?
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:   3.245
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.801
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.809
?
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
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[26714048]
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[39027575]
NPO8402 Thevetia peruviana Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8402 Thevetia peruviana Species Apocynaceae 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
NPT1312 Cell line SW1990 Homo sapiens IC50 > 10000.0 nM PMID[26714048]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 10000.0 nM PMID[26714048]
NPT27 Others Unspecified n.a. IC50 > 10000.0 nM PMID[26714048]

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 NPC486152 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
0.9368 High Similarity NPC486140
0.8137 Intermediate Similarity NPC329784
0.7374 Intermediate Similarity NPC27363
0.7212 Intermediate Similarity NPC486131
0.7143 Intermediate Similarity NPC486128
0.7075 Intermediate Similarity NPC486144
0.7075 Intermediate Similarity NPC486145
0.7075 Intermediate Similarity NPC486147
0.7075 Intermediate Similarity NPC486136
0.7075 Intermediate Similarity NPC486148
0.6961 Remote Similarity NPC486151
0.6818 Remote Similarity NPC486133
0.6635 Remote Similarity NPC486130
0.6571 Remote Similarity NPC486127
0.6549 Remote Similarity NPC474423
0.6509 Remote Similarity NPC486143
0.6509 Remote Similarity NPC486135
0.6509 Remote Similarity NPC486142
0.6509 Remote Similarity NPC486137
0.6509 Remote Similarity NPC486149
0.6449 Remote Similarity NPC232785
0.6449 Remote Similarity NPC486139
0.6415 Remote Similarity NPC475629
0.6273 Remote Similarity NPC486132
0.6195 Remote Similarity NPC475419
0.6132 Remote Similarity NPC30483
0.6132 Remote Similarity NPC470897
0.6071 Remote Similarity NPC479360
0.6071 Remote Similarity NPC479359
0.6 Remote Similarity NPC486134
0.6 Remote Similarity NPC486141
0.5948 Remote Similarity NPC486150
0.5913 Remote Similarity NPC120390
0.5897 Remote Similarity NPC488945
0.5897 Remote Similarity NPC488946
0.5862 Remote Similarity NPC474908
0.5862 Remote Similarity NPC194716
0.5739 Remote Similarity NPC475590
0.5565 Remote Similarity NPC479357
0.5536 Remote Similarity NPC231518
0.5536 Remote Similarity NPC488944
0.5526 Remote Similarity NPC329986
0.5526 Remote Similarity NPC140092
0.5495 Remote Similarity NPC236973
0.5495 Remote Similarity NPC32177
0.5495 Remote Similarity NPC469756
0.5495 Remote Similarity NPC275901
0.5472 Remote Similarity NPC5311
0.5472 Remote Similarity NPC77299
0.5472 Remote Similarity NPC480906
0.5446 Remote Similarity NPC188234
0.5446 Remote Similarity NPC480910
0.5446 Remote Similarity NPC480909
0.5421 Remote Similarity NPC480914
0.5391 Remote Similarity NPC486146
0.5385 Remote Similarity NPC488943
0.5385 Remote Similarity NPC488942
0.5377 Remote Similarity NPC84987
0.5345 Remote Similarity NPC486138
0.5345 Remote Similarity NPC276838
0.5263 Remote Similarity NPC610296
0.5259 Remote Similarity NPC146857
0.5225 Remote Similarity NPC480907
0.5207 Remote Similarity NPC329675
0.5175 Remote Similarity NPC32793
0.5175 Remote Similarity NPC116075
0.5175 Remote Similarity NPC240070
0.5124 Remote Similarity NPC74259
0.5088 Remote Similarity NPC292467
0.5086 Remote Similarity NPC125077
0.5081 Remote Similarity NPC488947
0.5043 Remote Similarity NPC475556
0.5043 Remote Similarity NPC469749
0.5043 Remote Similarity NPC479353
0.5043 Remote Similarity NPC479354
0.5043 Remote Similarity NPC311706

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486152 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
0.5536 Remote Similarity NPD8033 Approved

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