Natural Product: NPC480477

Natural Product IDNPC480477
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DWXCAOZAIWPIJR-PDSMFRHLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 134151269
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 DWXCAOZAIWPIJR-PDSMFRHLSA-N
Standard InCHI InChI=1S/C22H20O8/c1-24-14-4-10(5-15-20(14)29-8-27-15)17-12-6-16-21(30-9-28-16)19(25-2)13(12)3-11-7-26-22(23)18(11)17/h4-6,11,17-18H,3,7-9H2,1-2H3/t11-,17+,18-/m0/s1
SMILES COc1cc(cc2c1OCO2)[C@@H]1c2cc3c(c(c2C[C@H]2COC(=O)[C@H]12)OC)OCO3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   412.12 Volume:   389.596
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Van der Waals volume.
Dense:   1.058 LogP:   2.216
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.408
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.504
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   30.0
TPSA:   81.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.712 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.905 Fsp3:   0.409
MCE-18:   107.0
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.493 Fluc inhibitor:   0.314
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.464
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.075
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.222 Promiscuous compounds:   0.435

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.952 MDCK Permeability:   -4.744
Pgp-inhibitor:   0.176 Pgp-substrate:   0.002
PAMPA:   0.033
?
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%):   0.001 30% Bioavailability (F30%):   0.0
50% Bioavailability (F50%):   0.013

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.998 MRP1:   0.963
Plasma Protein Binding (PPB):   97.5% Volume Distribution (VD):   -0.004
Fu: 2.767%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.904
OATP1B3 inhibitor:   0.323 BCRP inhibitor:   0.0
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.998 CYP1A2-substrate:   0.83
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.821
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.519
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.993
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.114
?
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):  3.694 Half-life (T1/2):  1.632

ADMET: Toxicity

hERG Blockers:  0.203 hERG Blockers (10um):  0.577
Human Hepatotoxicity (H-HT):  0.934 Drug-induced Liver Injury (DILI):  0.998
AMES Toxicity:  0.849 Rat Oral Acute Toxicity:  0.907
Maximum Recommended Daily Dose:  0.874 Skin Sensitization:  0.989
Carcinogencity:  0.952 Eye Corrosion:  0.001
Eye Irritation:  0.389 Respiratory Toxicity:  0.971
Drug-induced Neurotoxicity:  0.957 Ototoxicity:  0.681
Hematotoxicity:  0.961 Drug-induced Nephrotoxicity:  0.986
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.692
A549 Cytotoxicity:  0.893 Hek293 Cytotoxicity:  0.833
BCF:   1.673
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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:   4.094
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.878
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.904
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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
NPO8247 Austrobaileya scandens Species Austrobaileyaceae Eukaryota n.a. n.a. n.a. PMID[27214307]
NPO8247 Austrobaileya scandens Species Austrobaileyaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8247 Austrobaileya scandens Species Austrobaileyaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 47.0 nM PMID[27214307]

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 NPC480477 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
0.9623 High Similarity NPC149505
0.7759 Intermediate Similarity NPC262455
0.7759 Intermediate Similarity NPC177476
0.7288 Intermediate Similarity NPC80230
0.7288 Intermediate Similarity NPC104024
0.7288 Intermediate Similarity NPC101755
0.7288 Intermediate Similarity NPC304687
0.7288 Intermediate Similarity NPC65574
0.6667 Remote Similarity NPC222531
0.6515 Remote Similarity NPC115281
0.6061 Remote Similarity NPC30009
0.6061 Remote Similarity NPC207584
0.6061 Remote Similarity NPC19947
0.6061 Remote Similarity NPC103197
0.6032 Remote Similarity NPC218092
0.6032 Remote Similarity NPC246474
0.6032 Remote Similarity NPC162851
0.5781 Remote Similarity NPC239890
0.5781 Remote Similarity NPC209411
0.5714 Remote Similarity NPC163527
0.5667 Remote Similarity NPC92693
0.5645 Remote Similarity NPC164082
0.5593 Remote Similarity NPC218841
0.5588 Remote Similarity NPC210642
0.5588 Remote Similarity NPC13985
0.5574 Remote Similarity NPC40237
0.5556 Remote Similarity NPC477698
0.5522 Remote Similarity NPC237946
0.5522 Remote Similarity NPC32373
0.55 Remote Similarity NPC151423
0.5429 Remote Similarity NPC273578
0.5375 Remote Similarity NPC115624
0.5352 Remote Similarity NPC288149
0.5352 Remote Similarity NPC470637
0.5246 Remote Similarity NPC193779
0.5211 Remote Similarity NPC119910
0.5167 Remote Similarity NPC11453
0.5161 Remote Similarity NPC475000
0.5152 Remote Similarity NPC191158
0.5152 Remote Similarity NPC177644

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480477 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
0.5522 Remote Similarity NPD4965 Approved
0.5522 Remote Similarity NPD4966 Phase 4
0.5522 Remote Similarity NPD4967 Phase 2

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