Natural Product: NPC271285

Natural Product IDNPC271285
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NCUGSKHACUXXDP-VONYEQKCSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5316473
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 NCUGSKHACUXXDP-VONYEQKCSA-N
Standard InCHI InChI=1S/C31H38O10/c1-15-20(34)12-19-24(40-28(37)18-10-8-7-9-11-18)26-30(6,21(35)13-22-31(26,14-38-22)41-17(3)33)27(36)25(39-16(2)32)23(15)29(19,4)5/h7-11,19-22,24-26,34-35H,12-14H2,1-6H3/t19-,20-,21-,22+,24+,25+,26-,30+,31-/m0/s1
SMILES CC1=C2[C@H](C(=O)[C@]3(C)[C@H](C[C@@H]4[C@@](CO4)([C@H]3[C@@H]([C@H](C[C@@H]1O)C2(C)C)OC(=O)c1ccccc1)OC(=O)C)O)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   570.25 Volume:   568.76
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Van der Waals volume.
Dense:   1.003 LogP:   1.617
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.055
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.187
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   145.66
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Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.315 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.498 Fsp3:   0.613
MCE-18:   133.76
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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:   0.745 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:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.051 Promiscuous compounds:   0.333

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.609 MDCK Permeability:   -5.143
Pgp-inhibitor:   0.867 Pgp-substrate:   0.955
PAMPA:   0.95
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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%):   0.935 30% Bioavailability (F30%):   0.913
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.272 MRP1:   0.998
Plasma Protein Binding (PPB):   60.784% Volume Distribution (VD):   -0.118
Fu: 36.335%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.972 BCRP inhibitor:   0.002
BSEP inhibitor:   0.699

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.164
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.019
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.01 CYP3A4-substrate:   0.009
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.992
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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):  9.333 Half-life (T1/2):  1.284

ADMET: Toxicity

hERG Blockers:  0.005 hERG Blockers (10um):  0.069
Human Hepatotoxicity (H-HT):  0.501 Drug-induced Liver Injury (DILI):  0.987
AMES Toxicity:  0.997 Rat Oral Acute Toxicity:  0.897
Maximum Recommended Daily Dose:  0.932 Skin Sensitization:  1.0
Carcinogencity:  0.973 Eye Corrosion:  0.0
Eye Irritation:  0.071 Respiratory Toxicity:  0.272
Drug-induced Neurotoxicity:  0.988 Ototoxicity:  0.419
Hematotoxicity:  0.895 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.711
A549 Cytotoxicity:  0.997 Hek293 Cytotoxicity:  0.933
BCF:   0.517
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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:   3.3
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.81
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.106
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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
NPO8936 Actaea japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8936 Actaea japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8936 Actaea japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties 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

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 NPC271285 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
0.716 Intermediate Similarity NPC155329
0.716 Intermediate Similarity NPC114357
0.6395 Remote Similarity NPC259144
0.5914 Remote Similarity NPC603140
0.5843 Remote Similarity NPC219419
0.5747 Remote Similarity NPC229545
0.5747 Remote Similarity NPC134685
0.56 Remote Similarity NPC36607
0.5568 Remote Similarity NPC197037
0.534 Remote Similarity NPC471623
0.534 Remote Similarity NPC208553
0.534 Remote Similarity NPC181964
0.534 Remote Similarity NPC307628
0.534 Remote Similarity NPC473400
0.534 Remote Similarity NPC603171
0.5327 Remote Similarity NPC487361
0.5288 Remote Similarity NPC33372
0.5288 Remote Similarity NPC67246
0.5288 Remote Similarity NPC324251
0.5288 Remote Similarity NPC206211
0.5275 Remote Similarity NPC11588
0.5238 Remote Similarity NPC487360
0.5238 Remote Similarity NPC479182
0.5238 Remote Similarity NPC479180
0.5238 Remote Similarity NPC471629
0.5238 Remote Similarity NPC306001
0.5222 Remote Similarity NPC91730
0.5222 Remote Similarity NPC248265
0.5165 Remote Similarity NPC217918
0.5165 Remote Similarity NPC605573
0.514 Remote Similarity NPC275170
0.5093 Remote Similarity NPC486061
0.5093 Remote Similarity NPC486060
0.5055 Remote Similarity NPC92867

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC271285 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
0.534 Remote Similarity NPD8485 Phase 4
0.5143 Remote Similarity NPD8407 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