Natural Product: NPC483866

Natural Product IDNPC483866
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QPFSZMAVTVGEND-PYXYTOABSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 134151242
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 QPFSZMAVTVGEND-PYXYTOABSA-N
Standard InCHI InChI=1S/C33H38O9/c1-19-26(36)27(39-20(2)34)29(41-30(38)22-14-10-7-11-15-22)32(5)24(18-23-28(37)33(19,32)42-31(23,3)4)40-25(35)17-16-21-12-8-6-9-13-21/h6-17,19,23-24,26-29,36-37H,18H2,1-5H3/b17-16+/t19-,23-,24+,26-,27-,28-,29+,32-,33-/m1/s1
SMILES C[C@@H]1[C@H]([C@H]([C@@H]([C@@]2(C)[C@H](C[C@@H]3[C@H]([C@]12OC3(C)C)O)OC(=O)/C=C/c1ccccc1)OC(=O)c1ccccc1)OC(=O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   578.25 Volume:   589.289
?
Van der Waals volume.
Dense:   0.981 LogP:   3.652
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.296
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.271
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   30.0
TPSA:   128.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.299 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.825 Fsp3:   0.485
MCE-18:   160.163
?
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:   0.927 Fluc inhibitor:   0.74
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.045
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.295
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.105 Promiscuous compounds:   0.053

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.51 MDCK Permeability:   -5.076
Pgp-inhibitor:   0.998 Pgp-substrate:   0.022
PAMPA:   0.651
?
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%):   0.117 30% Bioavailability (F30%):   0.49
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.448 MRP1:   0.941
Plasma Protein Binding (PPB):   87.587% Volume Distribution (VD):   -0.347
Fu: 10.632%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.003
BSEP inhibitor:   0.99

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.067
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.274
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
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:   0.576
?
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):  7.78 Half-life (T1/2):  0.863

ADMET: Toxicity

hERG Blockers:  0.094 hERG Blockers (10um):  0.627
Human Hepatotoxicity (H-HT):  0.372 Drug-induced Liver Injury (DILI):  0.898
AMES Toxicity:  0.672 Rat Oral Acute Toxicity:  0.054
Maximum Recommended Daily Dose:  0.298 Skin Sensitization:  0.998
Carcinogencity:  0.518 Eye Corrosion:  0.0
Eye Irritation:  0.324 Respiratory Toxicity:  0.036
Drug-induced Neurotoxicity:  0.569 Ototoxicity:  0.446
Hematotoxicity:  0.09 Drug-induced Nephrotoxicity:  0.836
Genotoxicity:  0.48 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.25 Hek293 Cytotoxicity:  0.604
BCF:   0.705
?
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:   3.588
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.211
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.651
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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 > 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 NPC483866 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
0.7342 Intermediate Similarity NPC174982
0.7125 Intermediate Similarity NPC483865
0.6627 Remote Similarity NPC171525
0.6447 Remote Similarity NPC470158
0.6235 Remote Similarity NPC184817
0.6145 Remote Similarity NPC29704
0.6145 Remote Similarity NPC470157
0.6053 Remote Similarity NPC483863
0.5698 Remote Similarity NPC483878
0.5632 Remote Similarity NPC25768
0.5632 Remote Similarity NPC70403
0.5632 Remote Similarity NPC177940
0.5568 Remote Similarity NPC483861
0.5513 Remote Similarity NPC100913
0.5506 Remote Similarity NPC188865
0.5495 Remote Similarity NPC473214
0.5412 Remote Similarity NPC214550
0.5393 Remote Similarity NPC469349
0.5366 Remote Similarity NPC483883
0.5366 Remote Similarity NPC151585
0.5349 Remote Similarity NPC488914
0.5349 Remote Similarity NPC473085
0.5341 Remote Similarity NPC472571
0.5341 Remote Similarity NPC470159
0.5281 Remote Similarity NPC605086
0.5222 Remote Similarity NPC483860
0.5169 Remote Similarity NPC603877
0.5114 Remote Similarity NPC476972
0.5055 Remote Similarity NPC125106
0.5055 Remote Similarity NPC472573

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483866 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