Natural Product: NPC594728

Natural Product IDNPC594728
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(1~{S},2~{S},3~{R},4~{R},7~{R},9~{S},10~{S},12~{R},15~{S})-4,12-diacetoxy-15-[(2~{R},3~{S})-3-[hexanoyl(methyl)amino]-2-hydroxy-3-phenyl-propanoyl]oxy-1,9-dihydroxy-10,14,17,17-tetramethyl-11-oxo-6-oxatetracyclo[11.3.1.0^{3,10}.0^{4,7}]heptadec-13-en-2-yl] benzoate
IUPAC Name [(1~{S},2~{S},3~{R},4~{R},7~{R},9~{S},10~{S},12~{R},15~{S})-4,12-diacetoxy-15-[(2~{R},3~{S})-3-[hexanoyl(methyl)amino]-2-hydroxy-3-phenyl-propanoyl]oxy-1,9-dihydroxy-10,14,17,17-tetramethyl-11-oxo-6-oxatetracyclo[11.3.1.0^{3,10}.0^{4,7}]heptadec-13-en-2-yl] benzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 LJTMOSWWGSCCPR-NZDCSBJXSA-N
Standard InCHI InChI=1S/C47H59NO14/c1-9-10-13-22-34(52)48(8)36(29-18-14-11-15-19-29)37(53)43(56)60-31-24-47(57)41(61-42(55)30-20-16-12-17-21-30)39-45(7,32(51)23-33-46(39,25-58-33)62-28(4)50)40(54)38(59-27(3)49)35(26(31)2)44(47,5)6/h11-12,14-21,31-33,36-39,41,51,53,57H,9-10,13,22-25H2,1-8H3/t31-,32-,33+,36-,37+,38+,39-,41-,45+,46+,47+/m0/s1
SMILES CCCCCC(=O)N(C)[C@@H](C1=CC=CC=C1)[C@@H](O)C(=O)O[C@H]1C[C@@]2(O)[C@@H](OC(=O)C3=CC=CC=C3)[C@@H]3[C@@]4(OC(C)=O)CO[C@@H]4C[C@H](O)[C@@]3(C)C(=O)[C@H](OC(C)=O)C(=C1C)C2(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   861.39 Volume:   869.915
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Van der Waals volume.
Dense:   0.99 LogP:   3.521
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.567
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.041
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The logarithm of aqueous solubility value.
Rotatable Bonds:   18.0 Rigid Bonds:   38.0
TPSA:   212.5
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.111 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.094 Fsp3:   0.574
MCE-18:   164.216
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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:   0.954 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:   0.038
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.103
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.136

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.626 MDCK Permeability:   -5.1
Pgp-inhibitor:   1.0 Pgp-substrate:   1.0
PAMPA:   1.0
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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):   0.007
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   92.724% Volume Distribution (VD):   0.013
Fu: 6.175%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.944 BCRP inhibitor:   0.0
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.061
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.71
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   0.953 CYP3A4-substrate:   0.515
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.995
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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):  3.252 Half-life (T1/2):  2.411

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.117
Human Hepatotoxicity (H-HT):  0.871 Drug-induced Liver Injury (DILI):  0.952
AMES Toxicity:  0.905 Rat Oral Acute Toxicity:  0.491
Maximum Recommended Daily Dose:  0.901 Skin Sensitization:  1.0
Carcinogencity:  0.46 Eye Corrosion:  0.0
Eye Irritation:  0.007 Respiratory Toxicity:  0.02
Drug-induced Neurotoxicity:  0.959 Ototoxicity:  0.808
Hematotoxicity:  0.837 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.372
A549 Cytotoxicity:  0.936 Hek293 Cytotoxicity:  0.525
BCF:   0.505
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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:   3.488
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.279
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.389
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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
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[23265441]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7561894]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7908950]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO52496 Taxus media Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5067 Taxus baccata 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

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 NPC594728 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
1.0 High Similarity NPC36607
0.766 Intermediate Similarity NPC603140
0.7115 Intermediate Similarity NPC471629
0.7115 Intermediate Similarity NPC306001
0.7087 Intermediate Similarity NPC471623
0.7087 Intermediate Similarity NPC208553
0.7087 Intermediate Similarity NPC181964
0.7087 Intermediate Similarity NPC307628
0.7019 Intermediate Similarity NPC33372
0.7019 Intermediate Similarity NPC67246
0.7019 Intermediate Similarity NPC324251
0.7019 Intermediate Similarity NPC206211
0.6952 Remote Similarity NPC487360
0.6952 Remote Similarity NPC479182
0.6952 Remote Similarity NPC479180
0.6923 Remote Similarity NPC473400
0.6923 Remote Similarity NPC603171
0.6822 Remote Similarity NPC275170
0.6759 Remote Similarity NPC486061
0.6759 Remote Similarity NPC486060
0.6697 Remote Similarity NPC487361
0.6526 Remote Similarity NPC155329
0.6526 Remote Similarity NPC114357
0.6514 Remote Similarity NPC471606
0.6082 Remote Similarity NPC605573
0.5856 Remote Similarity NPC453583
0.5856 Remote Similarity NPC317882
0.5856 Remote Similarity NPC453588
0.5804 Remote Similarity NPC471754
0.5766 Remote Similarity NPC321072
0.5766 Remote Similarity NPC215892
0.5766 Remote Similarity NPC242662
0.5766 Remote Similarity NPC102167
0.5766 Remote Similarity NPC488127
0.5752 Remote Similarity NPC478329
0.5743 Remote Similarity NPC259144
0.5743 Remote Similarity NPC219419
0.5714 Remote Similarity NPC191193
0.5676 Remote Similarity NPC473300
0.5664 Remote Similarity NPC479183
0.5664 Remote Similarity NPC479181
0.5625 Remote Similarity NPC327699
0.5403 Remote Similarity NPC479184
0.5351 Remote Similarity NPC473490
0.5347 Remote Similarity NPC197037
0.5347 Remote Similarity NPC229545
0.5347 Remote Similarity NPC248265
0.5347 Remote Similarity NPC134685
0.5246 Remote Similarity NPC116862
0.5196 Remote Similarity NPC91730
0.5161 Remote Similarity NPC472391
0.5146 Remote Similarity NPC217918
0.512 Remote Similarity NPC479185

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC594728 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
0.7087 Intermediate Similarity NPD8485 Phase 4
0.6389 Remote Similarity NPD8368 Phase 2
0.6364 Remote Similarity NPD8486 Phase 1
0.6 Remote Similarity NPD8462 Phase 2
0.5909 Remote Similarity NPD8424 Phase 3
0.5766 Remote Similarity NPD8360 Approved
0.5766 Remote Similarity NPD8361 Phase 4
0.5439 Remote Similarity NPD8435 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