Natural Product: NPC472373

Natural Product IDNPC472373
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QWAIDSKVFUQONT-JVJUJCKXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL339663
PubChem CID 44351350
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0000676] Taxanes and derivatives

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 QWAIDSKVFUQONT-JVJUJCKXSA-N
Standard InCHI InChI=1S/C35H44O9/c1-19-26(39)16-17-35(8)30(19)31(41-21(3)36)25-18-27(44-28(40)15-14-24-12-10-9-11-13-24)20(2)29(34(25,6)7)32(42-22(4)37)33(35)43-23(5)38/h9-15,25-27,30-33,39H,1,16-18H2,2-8H3/b15-14+/t25-,26-,27-,30-,31+,32+,33-,35+/m0/s1
SMILES O=C(O[C@H]1C[C@H]2[C@@H](OC(=O)C)[C@@H]3C(=C)[C@@H](O)CC[C@]3([C@H]([C@@H](C(=C1C)C2(C)C)OC(=O)C)OC(=O)C)C)/C=C/c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.3 Volume:   632.438
?
Van der Waals volume.
Dense:   0.962 LogP:   3.543
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.443
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.082
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   29.0
TPSA:   125.43
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.203 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.56 Fsp3:   0.543
MCE-18:   113.667
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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:   0.983 Fluc inhibitor:   0.397
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.064
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.179
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.106 Promiscuous compounds:   0.212

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.125 MDCK Permeability:   -4.786
Pgp-inhibitor:   1.0 Pgp-substrate:   0.684
PAMPA:   0.338
?
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):   0.002
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.877
Plasma Protein Binding (PPB):   90.542% Volume Distribution (VD):   -0.392
Fu: 8.492%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.006
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.037
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.043
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.025
?
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):  7.821 Half-life (T1/2):  0.847

ADMET: Toxicity

hERG Blockers:  0.015 hERG Blockers (10um):  0.044
Human Hepatotoxicity (H-HT):  0.738 Drug-induced Liver Injury (DILI):  0.939
AMES Toxicity:  0.735 Rat Oral Acute Toxicity:  0.041
Maximum Recommended Daily Dose:  0.59 Skin Sensitization:  0.996
Carcinogencity:  0.517 Eye Corrosion:  0.0
Eye Irritation:  0.22 Respiratory Toxicity:  0.017
Drug-induced Neurotoxicity:  0.039 Ototoxicity:  0.683
Hematotoxicity:  0.471 Drug-induced Nephrotoxicity:  0.973
Genotoxicity:  0.752 RPMI-8226 Immunitoxicity:  0.104
A549 Cytotoxicity:  0.411 Hek293 Cytotoxicity:  0.218
BCF:   0.639
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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:   3.753
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.884
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.185
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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
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. Japan n.a. PMID[14987066]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[15844936]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[15974623]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. Japan n.a. PMID[15974623]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24820 Taxus cuspidata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24820 Taxus cuspidata Species Taxaceae 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 = 95.0 % Open TG-GATES in vivo data: Biochemistry

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 NPC472373 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
0.7703 Intermediate Similarity NPC473749
0.7662 Intermediate Similarity NPC472388
0.7467 Intermediate Similarity NPC472372
0.6709 Remote Similarity NPC473439
0.622 Remote Similarity NPC607515
0.6145 Remote Similarity NPC12016
0.6111 Remote Similarity NPC472416
0.5833 Remote Similarity NPC472361
0.5783 Remote Similarity NPC89324
0.5765 Remote Similarity NPC471758
0.5658 Remote Similarity NPC8196
0.5529 Remote Similarity NPC195224
0.5529 Remote Similarity NPC472437
0.5517 Remote Similarity NPC209851
0.5412 Remote Similarity NPC472374
0.5402 Remote Similarity NPC225103
0.5349 Remote Similarity NPC300827
0.5333 Remote Similarity NPC605842
0.5256 Remote Similarity NPC471765
0.5217 Remote Similarity NPC472371
0.5169 Remote Similarity NPC473443
0.5169 Remote Similarity NPC472418
0.5114 Remote Similarity NPC45821
0.5056 Remote Similarity NPC475493

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472373 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