Natural Product: NPC477580

Natural Product IDNPC477580
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-[(3S,5S,8R,9S,10S,13R,14S,17R)-14-hydroxy-3-[(2R,4R,5S,6R)-5-hydroxy-4-methoxy-6-methyloxan-2-yl]oxy-10,13-dimethyl-1,2,3,4,5,6,7,8,9,11,12,15,16,17-tetradecahydrocyclopenta[a]phenanthren-17-yl]cyclopent-2-en-1-one
IUPAC Name 3-[(3S,5S,8R,9S,10S,13R,14S,17R)-14-hydroxy-3-[(2R,4R,5S,6R)-5-hydroxy-4-methoxy-6-methyloxan-2-yl]oxy-10,13-dimethyl-1,2,3,4,5,6,7,8,9,11,12,15,16,17-tetradecahydrocyclopenta[a]phenanthren-17-yl]cyclopent-2-en-1-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44425146
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides

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 DASJJOOKVLPCQK-RHLYVVHBSA-N
Standard InCHI InChI=1S/C31H48O6/c1-18-28(33)26(35-4)17-27(36-18)37-22-9-12-29(2)20(16-22)6-8-25-24(29)10-13-30(3)23(11-14-31(25,30)34)19-5-7-21(32)15-19/h15,18,20,22-28,33-34H,5-14,16-17H2,1-4H3/t18-,20+,22+,23-,24+,25-,26-,27+,28+,29+,30-,31+/m1/s1
SMILES C[C@@H]1[C@@H]([C@@H](C[C@@H](O1)O[C@H]2CC[C@]3([C@H](C2)CC[C@@H]4[C@@H]3CC[C@]5([C@@]4(CC[C@@H]5C6=CC(=O)CC6)O)C)C)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   516.35 Volume:   540.862
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Van der Waals volume.
Dense:   0.955 LogP:   3.897
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.749
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.921
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   32.0
TPSA:   85.22
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.515 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.028 Fsp3:   0.903
MCE-18:   106.915
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.798 Fluc inhibitor:   0.007
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.238 Promiscuous compounds:   0.622

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.208 MDCK Permeability:   -5.061
Pgp-inhibitor:   0.944 Pgp-substrate:   0.374
PAMPA:   0.356
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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%):   0.394 30% Bioavailability (F30%):   0.419
50% Bioavailability (F50%):   0.928

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.011 MRP1:   0.767
Plasma Protein Binding (PPB):   93.43% Volume Distribution (VD):   0.26
Fu: 5.934%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.945 BCRP inhibitor:   0.659
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.958 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.016 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.088
HLM stability:   0.669
?
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):  11.862 Half-life (T1/2):  1.89

ADMET: Toxicity

hERG Blockers:  0.082 hERG Blockers (10um):  0.341
Human Hepatotoxicity (H-HT):  0.571 Drug-induced Liver Injury (DILI):  0.91
AMES Toxicity:  0.884 Rat Oral Acute Toxicity:  0.716
Maximum Recommended Daily Dose:  0.928 Skin Sensitization:  0.997
Carcinogencity:  0.901 Eye Corrosion:  0.001
Eye Irritation:  0.182 Respiratory Toxicity:  0.913
Drug-induced Neurotoxicity:  0.177 Ototoxicity:  0.65
Hematotoxicity:  0.72 Drug-induced Nephrotoxicity:  0.858
Genotoxicity:  0.687 RPMI-8226 Immunitoxicity:  0.184
A549 Cytotoxicity:  0.894 Hek293 Cytotoxicity:  0.903
BCF:   1.683
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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:   3.884
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.22
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.659
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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
NPO10021 Nerium oleander Species Apocynaceae Eukaryota leaves Niigata City, Niigata Province, Japan 2000-Nov PMID[15730243]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota leaves n.a. n.a. PMID[16933868]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[17253842]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota stems and twigs Niigata City, Niigata Province, Japan 2001-NOV PMID[17595134]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota stems and twigs n.a. n.a. PMID[17595134]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[29693393]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota Leaves; Stems n.a. n.a. PMID[9214727]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10021 Nerium oleander Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10021 Nerium oleander 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
NPT1475 Cell line WI-38 VA13 Homo sapiens IC50 = 1300000 nM PMID[17595134]
NPT65 Cell line HepG2 Homo sapiens IC50 = 10200000 nM PMID[17595134]
NPT81 Cell line A549 Homo sapiens IC50 = 1800 nM PMID[17595134]
NPT81 Cell line A549 Homo sapiens IC50 = 2100 nM PMID[17595134]
NPT81 Cell line A549 Homo sapiens IC50 > 316000 nM PMID[17595134]
NPT27 Others Unspecified n.a. IC50 = 370000 nM PMID[17595134]
NPT2 Others Unspecified n.a. Activity = 78 % PMID[17595134]
NPT2 Others Unspecified n.a. Activity = 67 % PMID[17595134]
NPT2 Others Unspecified n.a. Activity = 58 % PMID[17595134]

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 NPC477580 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
0.7375 Intermediate Similarity NPC84949
0.7375 Intermediate Similarity NPC480562
0.7375 Intermediate Similarity NPC74945
0.7375 Intermediate Similarity NPC31354
0.7375 Intermediate Similarity NPC69576
0.6429 Remote Similarity NPC99080
0.6207 Remote Similarity NPC483822
0.6 Remote Similarity NPC103534
0.6 Remote Similarity NPC44899
0.6 Remote Similarity NPC304260
0.6 Remote Similarity NPC29639
0.5843 Remote Similarity NPC484202
0.5632 Remote Similarity NPC471633
0.5618 Remote Similarity NPC199428
0.5618 Remote Similarity NPC109448
0.5618 Remote Similarity NPC310341
0.5568 Remote Similarity NPC481208
0.5506 Remote Similarity NPC34390
0.5495 Remote Similarity NPC93883
0.5476 Remote Similarity NPC246399
0.5476 Remote Similarity NPC34977
0.5476 Remote Similarity NPC221196
0.5465 Remote Similarity NPC39485
0.5385 Remote Similarity NPC180079
0.5361 Remote Similarity NPC55532
0.5281 Remote Similarity NPC99620
0.5275 Remote Similarity NPC152615
0.5213 Remote Similarity NPC72260
0.5111 Remote Similarity NPC479351
0.5111 Remote Similarity NPC479352
0.5104 Remote Similarity NPC481207
0.5096 Remote Similarity NPC475419
0.5052 Remote Similarity NPC481206

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477580 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
0.6022 Remote Similarity NPD8377 Phase 4
0.5213 Remote Similarity NPD8294 Phase 4
0.5152 Remote Similarity NPD8378 Pre-clinical
0.5152 Remote Similarity NPD8379 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