Natural Product: NPC217918

Natural Product IDNPC217918
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
GERGUKHEZFJMEB-NGHSAJJSSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL265977
PubChem CID 5321736
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 GERGUKHEZFJMEB-NGHSAJJSSA-N
Standard InCHI InChI=1S/C31H38O11/c1-15-19(34)13-31(38)26(41-27(37)18-10-8-7-9-11-18)24-29(6,20(35)12-21-30(24,14-39-21)42-17(3)33)25(36)23(40-16(2)32)22(15)28(31,4)5/h7-11,20-21,23-26,35-36,38H,12-14H2,1-6H3/t20-,21+,23+,24-,25-,26-,29+,30-,31+/m0/s1
SMILES CC1=C2[C@H]([C@@H]([C@]3(C)[C@H](C[C@@H]4[C@@](CO4)([C@H]3[C@@H]([C@](CC1=O)(C2(C)C)O)OC(=O)c1ccccc1)OC(=O)C)O)O)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   586.24 Volume:   577.551
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Van der Waals volume.
Dense:   1.015 LogP:   1.705
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.969
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.42
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   165.89
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.347 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.59 Fsp3:   0.613
MCE-18:   140.8
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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:   0 PAINS Alert:   0
Colloidal aggregators:   0.525 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.024
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.006
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.047 Promiscuous compounds:   0.258

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.801 MDCK Permeability:   -5.24
Pgp-inhibitor:   1.0 Pgp-substrate:   0.978
PAMPA:   0.993
?
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):   0.045
20% Bioavailability (F20%):   0.772 30% Bioavailability (F30%):   0.99
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   75.796% Volume Distribution (VD):   0.156
Fu: 20.913%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.173
BSEP inhibitor:   0.989

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.029
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.012
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.011 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.322
?
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):  8.352 Half-life (T1/2):  1.319

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.169
Human Hepatotoxicity (H-HT):  0.443 Drug-induced Liver Injury (DILI):  0.884
AMES Toxicity:  0.957 Rat Oral Acute Toxicity:  0.483
Maximum Recommended Daily Dose:  0.658 Skin Sensitization:  1.0
Carcinogencity:  0.818 Eye Corrosion:  0.0
Eye Irritation:  0.222 Respiratory Toxicity:  0.091
Drug-induced Neurotoxicity:  0.729 Ototoxicity:  0.651
Hematotoxicity:  0.671 Drug-induced Nephrotoxicity:  0.994
Genotoxicity:  0.988 RPMI-8226 Immunitoxicity:  0.259
A549 Cytotoxicity:  0.715 Hek293 Cytotoxicity:  0.436
BCF:   0.372
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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:   3.068
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.589
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.633
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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
NPO32489 Taxus Genus Taxaceae Eukaryota n.a. n.a. n.a. PMID[10543916]
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
NPT168 Cell line P388 Mus musculus IC50 = 47863009.23 nM DOI[10.1016/S0960-894X(97)00439-3]
NPT168 Cell line P388 Mus musculus IC50 = 21.0 ug.mL-1 PMID[10543916]

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 NPC217918 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
0.7922 Intermediate Similarity NPC605573
0.7564 Intermediate Similarity NPC609501
0.7407 Intermediate Similarity NPC219419
0.6914 Remote Similarity NPC91730
0.6914 Remote Similarity NPC248265
0.6354 Remote Similarity NPC327699
0.6353 Remote Similarity NPC155329
0.6353 Remote Similarity NPC114357
0.6207 Remote Similarity NPC259144
0.6118 Remote Similarity NPC197037
0.593 Remote Similarity NPC229545
0.593 Remote Similarity NPC134685
0.5795 Remote Similarity NPC11588
0.5579 Remote Similarity NPC603140
0.5455 Remote Similarity NPC38696
0.5146 Remote Similarity NPC36607
0.5094 Remote Similarity NPC471629
0.5094 Remote Similarity NPC306001
0.5055 Remote Similarity NPC92867
0.5048 Remote Similarity NPC471623
0.5048 Remote Similarity NPC208553
0.5048 Remote Similarity NPC181964
0.5048 Remote Similarity NPC307628
0.5048 Remote Similarity NPC473400
0.5048 Remote Similarity NPC603171

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC217918 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
0.5048 Remote Similarity NPD8485 Phase 4

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