Natural Product: NPC85593

Natural Product IDNPC85593
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Polystanin D
IUPAC Name [(3R,5R,9R,10R,13S,14S,17S)-17-[(2S,3S,5R)-5-[(1S)-1,2-dihydroxy-2-methylpropyl]-2-methoxyoxolan-3-yl]-4,4,10,13,14-pentamethyl-2,3,5,6,9,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-3-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2392322
PubChem CID 71529900
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 TYDCQDCBJWPAQE-VPERIMHQSA-N
Standard InCHI InChI=1S/C33H54O6/c1-19(34)38-26-14-15-31(6)22-13-17-32(7)21(20-18-24(39-28(20)37-9)27(35)30(4,5)36)12-16-33(32,8)23(22)10-11-25(31)29(26,2)3/h10,20-22,24-28,35-36H,11-18H2,1-9H3/t20-,21-,22-,24+,25-,26+,27-,28-,31+,32-,33+/m0/s1
SMILES CO[C@H]1O[C@H](C[C@H]1[C@@H]1CC[C@]2([C@@]1(C)CC[C@H]1C2=CC[C@@H]2[C@]1(C)CC[C@H](C2(C)C)OC(=O)C)C)[C@@H](C(O)(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   546.39 Volume:   584.01
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Van der Waals volume.
Dense:   0.936 LogP:   4.093
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.774
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.299
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   26.0
TPSA:   85.22
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.323 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.159 Fsp3:   0.909
MCE-18:   104.127
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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:   0.9 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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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:   0.227 Promiscuous compounds:   0.655

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.118 MDCK Permeability:   -4.879
Pgp-inhibitor:   0.988 Pgp-substrate:   0.328
PAMPA:   0.341
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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):   0.0
20% Bioavailability (F20%):   0.067 30% Bioavailability (F30%):   0.115
50% Bioavailability (F50%):   0.887

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.023 MRP1:   0.819
Plasma Protein Binding (PPB):   84.208% Volume Distribution (VD):   -0.256
Fu: 10.621%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.339
BSEP inhibitor:   0.985

ADMET: Metabolism

CYP1A2-inhibitor:   0.174 CYP1A2-substrate:   0.04
CYP2C19-inhibitor:   0.865 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.93
CYP3A4-inhibitor:   0.853 CYP3A4-substrate:   0.943
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.437
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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):  9.867 Half-life (T1/2):  0.662

ADMET: Toxicity

hERG Blockers:  0.099 hERG Blockers (10um):  0.319
Human Hepatotoxicity (H-HT):  0.74 Drug-induced Liver Injury (DILI):  0.635
AMES Toxicity:  0.66 Rat Oral Acute Toxicity:  0.588
Maximum Recommended Daily Dose:  0.605 Skin Sensitization:  0.908
Carcinogencity:  0.748 Eye Corrosion:  0.007
Eye Irritation:  0.466 Respiratory Toxicity:  0.366
Drug-induced Neurotoxicity:  0.198 Ototoxicity:  0.724
Hematotoxicity:  0.498 Drug-induced Nephrotoxicity:  0.771
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.09
A549 Cytotoxicity:  0.283 Hek293 Cytotoxicity:  0.398
BCF:   2.089
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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:   4.485
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.912
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.41
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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
NPO3063 Aphanamixis grandifolia Species Meliaceae Eukaryota Fruits n.a. n.a. PMID[23772699]
NPO3063 Aphanamixis grandifolia Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3063 Aphanamixis grandifolia Species Meliaceae 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
NPT116 Cell line HL-60 Homo sapiens IC50 = 1800.0 nM DrugMatrix in vitro pharmacology data

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 NPC85593 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
1.0 High Similarity NPC31430
0.875 High Similarity NPC101450
0.7465 Intermediate Similarity NPC5358
0.7465 Intermediate Similarity NPC216260
0.7297 Intermediate Similarity NPC121566
0.7297 Intermediate Similarity NPC100955
0.6667 Remote Similarity NPC189282
0.6667 Remote Similarity NPC237402
0.6203 Remote Similarity NPC63023
0.6203 Remote Similarity NPC95243
0.5844 Remote Similarity NPC484789
0.5844 Remote Similarity NPC484801
0.5844 Remote Similarity NPC484786
0.5844 Remote Similarity NPC484787
0.5844 Remote Similarity NPC484788
0.5783 Remote Similarity NPC470064
0.5783 Remote Similarity NPC470043
0.5769 Remote Similarity NPC471293
0.5769 Remote Similarity NPC324598
0.5532 Remote Similarity NPC250089
0.5532 Remote Similarity NPC157530
0.5309 Remote Similarity NPC484791
0.5309 Remote Similarity NPC484790
0.5258 Remote Similarity NPC14630
0.5253 Remote Similarity NPC488573
0.5253 Remote Similarity NPC488572
0.5172 Remote Similarity NPC470060
0.5172 Remote Similarity NPC470059
0.5122 Remote Similarity NPC471896
0.5116 Remote Similarity NPC484792
0.5057 Remote Similarity NPC470055

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC85593 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