Natural Product: NPC477579

Natural Product IDNPC477579
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-[(1S,2R,4aR,6aR,6aS,6bR,8aR,10S,12aR,14bR)-10-hydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydro-1H-picen-4a-yl]acetaldehyde
IUPAC Name 2-[(1S,2R,4aR,6aR,6aS,6bR,8aR,10S,12aR,14bR)-10-hydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydro-1H-picen-4a-yl]acetaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44583866
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 XVYNHNJCVHARPC-JFEQRZBLSA-N
Standard InCHI InChI=1S/C31H50O2/c1-20-10-15-31(18-19-32)17-16-29(6)22(26(31)21(20)2)8-9-24-28(5)13-12-25(33)27(3,4)23(28)11-14-30(24,29)7/h8,19-21,23-26,33H,9-18H2,1-7H3/t20-,21+,23+,24-,25+,26+,28+,29-,30-,31-/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@@]3(C(=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H](C5(C)C)O)C)C)[C@@H]2[C@H]1C)C)CC=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   454.38 Volume:   514.257
?
Van der Waals volume.
Dense:   0.884 LogP:   5.273
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.115
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.795
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   37.3
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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:   0.344 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.95 Fsp3:   0.903
MCE-18:   99.085
?
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:   0.945 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.037
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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:   0.482 Promiscuous compounds:   0.05

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.521 MDCK Permeability:   -5.071
Pgp-inhibitor:   0.667 Pgp-substrate:   0.091
PAMPA:   0.921
?
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%):   0.943 30% Bioavailability (F30%):   0.566
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.977 MRP1:   0.889
Plasma Protein Binding (PPB):   97.544% Volume Distribution (VD):   -0.255
Fu: 3.475%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.877 BCRP inhibitor:   0.581
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.522 CYP1A2-substrate:   0.71
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.955
CYP2C9-inhibitor:   0.291 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.067 CYP2D6-substrate:   0.902
CYP3A4-inhibitor:   0.011 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.978
?
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):  10.43 Half-life (T1/2):  0.31

ADMET: Toxicity

hERG Blockers:  0.07 hERG Blockers (10um):  0.154
Human Hepatotoxicity (H-HT):  0.593 Drug-induced Liver Injury (DILI):  0.43
AMES Toxicity:  0.57 Rat Oral Acute Toxicity:  0.542
Maximum Recommended Daily Dose:  0.486 Skin Sensitization:  0.965
Carcinogencity:  0.874 Eye Corrosion:  0.066
Eye Irritation:  0.59 Respiratory Toxicity:  0.813
Drug-induced Neurotoxicity:  0.221 Ototoxicity:  0.488
Hematotoxicity:  0.724 Drug-induced Nephrotoxicity:  0.888
Genotoxicity:  0.977 RPMI-8226 Immunitoxicity:  0.073
A549 Cytotoxicity:  0.604 Hek293 Cytotoxicity:  0.574
BCF:   1.945
?
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:   4.375
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.441
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.068
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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 = 85400 nM PMID[16933868]
NPT81 Cell line A549 Homo sapiens IC50 = 158000 nM PMID[16933868]
NPT81 Cell line A549 Homo sapiens IC50 = 205000 nM PMID[16933868]
NPT27 Others Unspecified n.a. IC50 = 94700 nM PMID[16933868]
NPT2 Others Unspecified n.a. IC50 = 99000 nM PMID[16933868]

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 NPC477579 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
0.7797 Intermediate Similarity NPC95594
0.7544 Intermediate Similarity NPC27765
0.7544 Intermediate Similarity NPC122418
0.7544 Intermediate Similarity NPC491014
0.7541 Intermediate Similarity NPC40552
0.7049 Intermediate Similarity NPC40394
0.6613 Remote Similarity NPC132478
0.6129 Remote Similarity NPC120098
0.6 Remote Similarity NPC235341
0.5942 Remote Similarity NPC307335
0.5942 Remote Similarity NPC74855
0.5873 Remote Similarity NPC290598
0.5873 Remote Similarity NPC30590
0.5797 Remote Similarity NPC610937
0.5758 Remote Similarity NPC291379
0.5714 Remote Similarity NPC51700
0.5714 Remote Similarity NPC88716
0.5714 Remote Similarity NPC68160
0.5672 Remote Similarity NPC602872
0.5634 Remote Similarity NPC18872
0.5634 Remote Similarity NPC290614
0.5507 Remote Similarity NPC246708
0.5493 Remote Similarity NPC171203
0.5493 Remote Similarity NPC307426
0.5493 Remote Similarity NPC98442
0.5493 Remote Similarity NPC242468
0.5493 Remote Similarity NPC195019
0.5373 Remote Similarity NPC101475
0.5352 Remote Similarity NPC272075
0.5352 Remote Similarity NPC86372
0.5342 Remote Similarity NPC49776
0.5342 Remote Similarity NPC63118
0.5342 Remote Similarity NPC474436
0.5303 Remote Similarity NPC82477
0.5294 Remote Similarity NPC290495
0.5294 Remote Similarity NPC477292
0.5286 Remote Similarity NPC606009
0.5278 Remote Similarity NPC7260
0.5278 Remote Similarity NPC210037
0.5278 Remote Similarity NPC120968
0.5278 Remote Similarity NPC227467
0.5278 Remote Similarity NPC273621
0.5278 Remote Similarity NPC112866
0.5217 Remote Similarity NPC470588
0.5211 Remote Similarity NPC127855
0.5211 Remote Similarity NPC479748
0.5211 Remote Similarity NPC477872
0.5139 Remote Similarity NPC480946
0.5139 Remote Similarity NPC187722
0.5139 Remote Similarity NPC274330
0.5139 Remote Similarity NPC130577
0.5139 Remote Similarity NPC142415
0.5139 Remote Similarity NPC102683
0.5128 Remote Similarity NPC171208
0.507 Remote Similarity NPC610552
0.5068 Remote Similarity NPC182797
0.5068 Remote Similarity NPC488519
0.5068 Remote Similarity NPC52169
0.5068 Remote Similarity NPC488562
0.5068 Remote Similarity NPC606443

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477579 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