Natural Product: NPC483859

Natural Product IDNPC483859
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WVOVOYUXPWBTPS-YCXRTIKKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 132525136
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 WVOVOYUXPWBTPS-YCXRTIKKSA-N
Standard InCHI InChI=1S/C37H42O13/c1-20(38)45-28-31(49-33(43)24-16-12-9-13-17-24)35(6)30(48-25(41)19-18-23-14-10-8-11-15-23)27(42)26-29(46-21(2)39)37(35,50-34(26,4)5)36(7,44)32(28)47-22(3)40/h8-19,26-32,42,44H,1-7H3/b19-18+/t26-,27+,28+,29-,30+,31+,32+,35-,36+,37-/m1/s1
SMILES CC(=O)O[C@H]1[C@@H]([C@@]2(C)[C@H]([C@H]([C@@H]3[C@H]([C@@]2([C@](C)([C@H]1OC(=O)C)O)OC3(C)C)OC(=O)C)O)OC(=O)/C=C/c1ccccc1)OC(=O)c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   694.26 Volume:   688.361
?
Van der Waals volume.
Dense:   1.009 LogP:   3.133
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.926
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.062
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   32.0
TPSA:   181.19
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.234 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.172 Fsp3:   0.486
MCE-18:   180.4
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.841 Fluc inhibitor:   0.547
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.022
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.357
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.104 Promiscuous compounds:   0.105

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.474 MDCK Permeability:   -4.893
Pgp-inhibitor:   1.0 Pgp-substrate:   0.098
PAMPA:   0.27
?
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%):   0.12 30% Bioavailability (F30%):   0.982
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.992
Plasma Protein Binding (PPB):   83.516% Volume Distribution (VD):   -0.345
Fu: 15.967%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.005
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.237
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.01
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.637
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.465
?
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):  6.06 Half-life (T1/2):  0.883

ADMET: Toxicity

hERG Blockers:  0.015 hERG Blockers (10um):  0.167
Human Hepatotoxicity (H-HT):  0.238 Drug-induced Liver Injury (DILI):  0.601
AMES Toxicity:  0.419 Rat Oral Acute Toxicity:  0.215
Maximum Recommended Daily Dose:  0.47 Skin Sensitization:  0.997
Carcinogencity:  0.192 Eye Corrosion:  0.003
Eye Irritation:  0.355 Respiratory Toxicity:  0.111
Drug-induced Neurotoxicity:  0.075 Ototoxicity:  0.31
Hematotoxicity:  0.053 Drug-induced Nephrotoxicity:  0.873
Genotoxicity:  0.838 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.024 Hek293 Cytotoxicity:  0.102
BCF:   0.626
?
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:   3.551
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.33
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.748
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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
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[20146433]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota fruits n.a. n.a. PMID[21856049]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[27541714]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26437 Maytenus jelskii Species Celastraceae 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
NPT2 Others Unspecified n.a. Activity = 88.6 % PMID[27541714]
NPT2 Others Unspecified n.a. Activity > 60.0 % PMID[27541714]

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 NPC483859 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
0.7284 Intermediate Similarity NPC188865
0.716 Intermediate Similarity NPC483861
0.716 Intermediate Similarity NPC483860
0.6279 Remote Similarity NPC171525
0.6235 Remote Similarity NPC25768
0.6 Remote Similarity NPC483880
0.6 Remote Similarity NPC156941
0.593 Remote Similarity NPC483867
0.5862 Remote Similarity NPC605086
0.5747 Remote Similarity NPC472571
0.5732 Remote Similarity NPC471101
0.573 Remote Similarity NPC488916
0.5568 Remote Similarity NPC470159
0.5556 Remote Similarity NPC184817
0.5506 Remote Similarity NPC70403
0.5506 Remote Similarity NPC177940
0.5444 Remote Similarity NPC125106
0.5444 Remote Similarity NPC472573
0.5444 Remote Similarity NPC483865
0.5422 Remote Similarity NPC291599
0.5393 Remote Similarity NPC476971
0.5312 Remote Similarity NPC476975
0.5281 Remote Similarity NPC29704
0.5281 Remote Similarity NPC470157
0.5275 Remote Similarity NPC469349
0.5227 Remote Similarity NPC51602
0.5222 Remote Similarity NPC603877
0.5055 Remote Similarity NPC475122

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483859 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