Natural Product: NPC298477

Natural Product IDNPC298477
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PIWUFWOLNMAXSJ-WAHAIZDPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 70697800
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 PIWUFWOLNMAXSJ-WAHAIZDPSA-N
Standard InCHI InChI=1S/C36H48O10/c1-21-31(40)26(38)19-30(44-21)45-25-13-14-32(3)24(18-25)12-15-35(42)27(32)20-28(46-29(39)11-10-23-8-6-5-7-9-23)33(4)34(41,22(2)37)16-17-36(33,35)43/h5-12,21,25-28,30-31,38,40-43H,13-20H2,1-4H3/b11-10+/t21-,25+,26+,27-,28-,30+,31-,32+,33-,34-,35+,36-/m1/s1
SMILES C[C@@H]1[C@H]([C@H](C[C@@H](O1)O[C@H]1CC[C@@]2(C)C(=CC[C@@]3([C@@H]2C[C@H]([C@]2(C)[C@@](CC[C@]32O)(C(=O)C)O)OC(=O)/C=C/c2ccccc2)O)C1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   640.32 Volume:   649.32
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Van der Waals volume.
Dense:   0.986 LogP:   2.594
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.733
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.7
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   35.0
TPSA:   162.98
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   5.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.178 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.337 Fsp3:   0.667
MCE-18:   161.333
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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:   0.907 Fluc inhibitor:   0.386
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.013
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.291
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.08 Promiscuous compounds:   0.361

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.137 MDCK Permeability:   -5.215
Pgp-inhibitor:   0.037 Pgp-substrate:   0.731
PAMPA:   0.995
?
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%):   0.801 30% Bioavailability (F30%):   0.78
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.024 MRP1:   0.845
Plasma Protein Binding (PPB):   93.265% Volume Distribution (VD):   0.249
Fu: 4.676%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.996
OATP1B3 inhibitor:   0.978 BCRP inhibitor:   0.016
BSEP inhibitor:   0.932

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.001
?
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):  3.272 Half-life (T1/2):  2.585

ADMET: Toxicity

hERG Blockers:  0.085 hERG Blockers (10um):  0.191
Human Hepatotoxicity (H-HT):  0.815 Drug-induced Liver Injury (DILI):  0.783
AMES Toxicity:  0.916 Rat Oral Acute Toxicity:  0.729
Maximum Recommended Daily Dose:  0.959 Skin Sensitization:  0.999
Carcinogencity:  0.831 Eye Corrosion:  0.0
Eye Irritation:  0.011 Respiratory Toxicity:  0.683
Drug-induced Neurotoxicity:  0.197 Ototoxicity:  0.837
Hematotoxicity:  0.419 Drug-induced Nephrotoxicity:  0.994
Genotoxicity:  0.987 RPMI-8226 Immunitoxicity:  0.359
A549 Cytotoxicity:  0.993 Hek293 Cytotoxicity:  0.954
BCF:   0.752
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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:   3.616
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.309
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.675
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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
NPO3291 Cynanchum auriculatum Species Apocynaceae Eukaryota n.a. root n.a. PMID[18401845]
NPO3291 Cynanchum auriculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3291 Cynanchum auriculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3291 Cynanchum auriculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3291 Cynanchum auriculatum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3291 Cynanchum auriculatum 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

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 NPC298477 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
0.7449 Intermediate Similarity NPC165234
0.7449 Intermediate Similarity NPC481659
0.7449 Intermediate Similarity NPC271687
0.7228 Intermediate Similarity NPC475536
0.6981 Remote Similarity NPC473641
0.6981 Remote Similarity NPC475300
0.6697 Remote Similarity NPC475437
0.6697 Remote Similarity NPC475464
0.6549 Remote Similarity NPC473797
0.6518 Remote Similarity NPC481648
0.6415 Remote Similarity NPC474564
0.6389 Remote Similarity NPC475613
0.6239 Remote Similarity NPC481654
0.6216 Remote Similarity NPC70236
0.6053 Remote Similarity NPC475567
0.5984 Remote Similarity NPC481650
0.5965 Remote Similarity NPC476092
0.5882 Remote Similarity NPC475175
0.5847 Remote Similarity NPC475447
0.5769 Remote Similarity NPC478506
0.5758 Remote Similarity NPC481657
0.5714 Remote Similarity NPC481660
0.5644 Remote Similarity NPC473519
0.562 Remote Similarity NPC475531
0.562 Remote Similarity NPC475198
0.5619 Remote Similarity NPC473805
0.5577 Remote Similarity NPC481658
0.5577 Remote Similarity NPC79250
0.5577 Remote Similarity NPC290746
0.5469 Remote Similarity NPC476090
0.5421 Remote Similarity NPC481661
0.5421 Remote Similarity NPC305378
0.5421 Remote Similarity NPC102015
0.5421 Remote Similarity NPC481655
0.5385 Remote Similarity NPC607555
0.5113 Remote Similarity NPC481647
0.5043 Remote Similarity NPC481649
0.5042 Remote Similarity NPC475218

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC298477 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