Natural Product: NPC89324

Natural Product IDNPC89324
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RIVHKUMNQRHVLQ-WPPRULKUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL341155
PubChem CID 44351931
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 RIVHKUMNQRHVLQ-WPPRULKUSA-N
Standard InCHI InChI=1S/C35H44O8/c1-20-27-18-26-19-29(40-22(3)36)21(2)31(34(26,6)7)32(41-23(4)37)33(42-24(5)38)35(27,8)17-16-28(20)43-30(39)15-14-25-12-10-9-11-13-25/h9-15,26-29,32-33H,1,16-19H2,2-8H3/b15-14+/t26-,27-,28+,29+,32-,33+,35-/m1/s1
SMILES CC(=O)O[C@H]1[C@H](OC(=O)C)C2=C(C)[C@@H](OC(=O)C)C[C@H](C2(C)C)C[C@H]2[C@@]1(C)CC[C@@H](C2=C)OC(=O)/C=C/c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   592.3 Volume:   623.647
?
Van der Waals volume.
Dense:   0.95 LogP:   4.132
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.713
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.937
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   29.0
TPSA:   105.2
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.168 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.463 Fsp3:   0.543
MCE-18:   110.222
?
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:   0.984 Fluc inhibitor:   0.448
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.067
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.127
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.293 Promiscuous compounds:   0.116

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.927 MDCK Permeability:   -4.525
Pgp-inhibitor:   1.0 Pgp-substrate:   0.114
PAMPA:   0.014
?
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%):   0.659 30% Bioavailability (F30%):   0.978
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.987
Plasma Protein Binding (PPB):   94.559% Volume Distribution (VD):   -0.176
Fu: 5.831%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.984 BCRP inhibitor:   0.007
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.167
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.009
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.976
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.156
?
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):  8.645 Half-life (T1/2):  0.518

ADMET: Toxicity

hERG Blockers:  0.044 hERG Blockers (10um):  0.162
Human Hepatotoxicity (H-HT):  0.771 Drug-induced Liver Injury (DILI):  0.998
AMES Toxicity:  0.931 Rat Oral Acute Toxicity:  0.39
Maximum Recommended Daily Dose:  0.917 Skin Sensitization:  1.0
Carcinogencity:  0.612 Eye Corrosion:  0.0
Eye Irritation:  0.145 Respiratory Toxicity:  0.161
Drug-induced Neurotoxicity:  0.936 Ototoxicity:  0.327
Hematotoxicity:  0.8 Drug-induced Nephrotoxicity:  0.995
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.211
A549 Cytotoxicity:  0.945 Hek293 Cytotoxicity:  0.741
BCF:   0.915
?
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:   4.077
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.894
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.439
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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
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.plantsci.2006.08.002]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0168-9452(01)00432-0]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[12217376]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30249 Taxus malrei Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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
NPT137 Cell line L1210 Mus musculus IC50 = 9.5 ug.mL-1 DOI[10.1016/S0960-894X(97)00029-2]

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 NPC89324 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
0.7639 Intermediate Similarity NPC300827
0.7302 Intermediate Similarity NPC486046
0.7027 Intermediate Similarity NPC473749
0.6974 Remote Similarity NPC475128
0.6974 Remote Similarity NPC12016
0.6842 Remote Similarity NPC604529
0.6 Remote Similarity NPC607515
0.5926 Remote Similarity NPC225103
0.5875 Remote Similarity NPC473439
0.5802 Remote Similarity NPC45821
0.5783 Remote Similarity NPC472373
0.5732 Remote Similarity NPC471758
0.5663 Remote Similarity NPC209851
0.561 Remote Similarity NPC472361
0.5488 Remote Similarity NPC472437
0.5357 Remote Similarity NPC284022
0.5294 Remote Similarity NPC260194

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC89324 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