Natural Product: NPC486697

Natural Product IDNPC486697
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DZMQWNKUIRPRBY-PMILXXDKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 132525296
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 DZMQWNKUIRPRBY-PMILXXDKSA-N
Standard InCHI InChI=1S/C39H54O8/c1-21(2)23-14-17-39(34(43)44)19-18-36(5)24(29(23)39)11-13-28-37(36,6)16-15-27-35(3,4)31(30(33(42)46-9)38(27,28)7)47-32(41)22-10-12-25(40)26(20-22)45-8/h10,12,20,23-24,27-31,40H,1,11,13-19H2,2-9H3,(H,43,44)/t23-,24+,27-,28-,29+,30+,31-,36+,37+,38-,39-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@H]4[C@@]3(C)CC[C@H]3C(C)(C)[C@H]([C@H](C(=O)OC)[C@]43C)OC(=O)c3ccc(c(c3)OC)O)[C@@H]12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.38 Volume:   683.628
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Van der Waals volume.
Dense:   0.951 LogP:   5.269
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.052
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.635
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   34.0
TPSA:   119.36
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.238 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.102 Fsp3:   0.718
MCE-18:   169.06
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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:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.801 Fluc inhibitor:   0.012
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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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:   0.163 Promiscuous compounds:   0.185

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.336 MDCK Permeability:   -4.914
Pgp-inhibitor:   0.153 Pgp-substrate:   0.0
PAMPA:   0.225
?
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%):   0.053 30% Bioavailability (F30%):   0.103
50% Bioavailability (F50%):   0.96

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   1.0
Plasma Protein Binding (PPB):   98.323% Volume Distribution (VD):   -0.145
Fu: 1.497%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   0.09
BSEP inhibitor:   0.878

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.752 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.987
HLM stability:   0.002
?
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):  4.068 Half-life (T1/2):  1.182

ADMET: Toxicity

hERG Blockers:  0.077 hERG Blockers (10um):  0.168
Human Hepatotoxicity (H-HT):  0.525 Drug-induced Liver Injury (DILI):  0.849
AMES Toxicity:  0.238 Rat Oral Acute Toxicity:  0.228
Maximum Recommended Daily Dose:  0.565 Skin Sensitization:  0.973
Carcinogencity:  0.908 Eye Corrosion:  0.016
Eye Irritation:  0.554 Respiratory Toxicity:  0.796
Drug-induced Neurotoxicity:  0.083 Ototoxicity:  0.487
Hematotoxicity:  0.256 Drug-induced Nephrotoxicity:  0.838
Genotoxicity:  0.841 RPMI-8226 Immunitoxicity:  0.028
A549 Cytotoxicity:  0.094 Hek293 Cytotoxicity:  0.218
BCF:   0.632
?
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:   3.945
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.376
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.849
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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
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. PMID[27617953]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota Roots n.a. n.a. PMID[28257196]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 1900.0 nM PMID[27617953]

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 NPC486697 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
0.8171 Intermediate Similarity NPC486695
0.7303 Intermediate Similarity NPC97475
0.7303 Intermediate Similarity NPC486696
0.6224 Remote Similarity NPC205392
0.6224 Remote Similarity NPC105942
0.5914 Remote Similarity NPC486708
0.5806 Remote Similarity NPC486706
0.5806 Remote Similarity NPC486705
0.5625 Remote Similarity NPC290349
0.5581 Remote Similarity NPC486704
0.5579 Remote Similarity NPC486699
0.5354 Remote Similarity NPC248287
0.5354 Remote Similarity NPC234548
0.5248 Remote Similarity NPC8102
0.5248 Remote Similarity NPC66894
0.5196 Remote Similarity NPC486700
0.5196 Remote Similarity NPC275312
0.5146 Remote Similarity NPC101863
0.5104 Remote Similarity NPC486709
0.5096 Remote Similarity NPC487491

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486697 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