Natural Product: NPC512088

Natural Product IDNPC512088
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Taxane Ia
IUPAC Name [(1~{S},2~{S},3~{R},4~{S},7~{R},9~{R},10~{S},15~{S})-4-acetoxy-15-[(2~{R},3~{S})-3-benzamido-2-hydroxy-3-phenyl-propanoyl]oxy-1,9-dihydroxy-10,14,17,17-tetramethyl-11,12-dioxo-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 CJCYABFPESVRKC-VIMPDCIZSA-N
Standard InCHI InChI=1S/C45H47NO13/c1-24-29(57-41(54)35(50)33(26-15-9-6-10-16-26)46-39(52)27-17-11-7-12-18-27)22-45(55)38(58-40(53)28-19-13-8-14-20-28)36-43(5,37(51)34(49)32(24)42(45,3)4)30(48)21-31-44(36,23-56-31)59-25(2)47/h6-20,29-31,33,35-36,38,48,50,55H,21-23H2,1-5H3,(H,46,52)/t29-,30+,31+,33-,35+,36-,38-,43+,44-,45+/m0/s1
SMILES CC(=O)O[C@@]12CO[C@@H]1C[C@@H](O)[C@@]1(C)C(=O)C(=O)C3=C(C)[C@@H](OC(=O)[C@H](O)[C@@H](NC(=O)C4=CC=CC=C4)C4=CC=CC=C4)C[C@@](O)([C@@H](OC(=O)C4=CC=CC=C4)[C@H]21)C3(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   809.3 Volume:   810.067
?
Van der Waals volume.
Dense:   0.999 LogP:   2.619
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.851
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.7
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   44.0
TPSA:   212.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   4.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.139 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.816 Fsp3:   0.422
MCE-18:   172.125
?
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:   1
Colloidal aggregators:   0.952 Fluc inhibitor:   0.123
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.061
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.462
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.006 Promiscuous compounds:   0.12

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.725 MDCK Permeability:   -5.064
Pgp-inhibitor:   0.992 Pgp-substrate:   0.994
PAMPA:   1.0
?
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):   0.008
20% Bioavailability (F20%):   0.818 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.944
Plasma Protein Binding (PPB):   96.565% Volume Distribution (VD):   0.006
Fu: 3.207%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.022
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.61
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.201
?
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):  4.058 Half-life (T1/2):  2.858

ADMET: Toxicity

hERG Blockers:  0.078 hERG Blockers (10um):  0.341
Human Hepatotoxicity (H-HT):  0.941 Drug-induced Liver Injury (DILI):  0.95
AMES Toxicity:  0.883 Rat Oral Acute Toxicity:  0.693
Maximum Recommended Daily Dose:  0.986 Skin Sensitization:  0.993
Carcinogencity:  0.015 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.192
Drug-induced Neurotoxicity:  0.837 Ototoxicity:  0.883
Hematotoxicity:  0.731 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.528
A549 Cytotoxicity:  0.783 Hek293 Cytotoxicity:  0.864
BCF:   0.674
?
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:   3.614
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.335
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.589
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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]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[1955887]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[2878063]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7130988]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota bark n.a. n.a. PMID[7623034]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO31343 Taxus chinensis Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27064 Taxus brevifolia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27064 Taxus brevifolia 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

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 NPC512088 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
0.8163 Intermediate Similarity NPC603171
0.7843 Intermediate Similarity NPC471606
0.7451 Intermediate Similarity NPC191193
0.6923 Remote Similarity NPC473300
0.6822 Remote Similarity NPC478329
0.6792 Remote Similarity NPC317882
0.6792 Remote Similarity NPC473400
0.6186 Remote Similarity NPC197037
0.6186 Remote Similarity NPC91730
0.6091 Remote Similarity NPC321072
0.6091 Remote Similarity NPC215892
0.6091 Remote Similarity NPC242662
0.6036 Remote Similarity NPC473558
0.6036 Remote Similarity NPC208553
0.6036 Remote Similarity NPC181964
0.6036 Remote Similarity NPC307628
0.5849 Remote Similarity NPC603140
0.5789 Remote Similarity NPC487360
0.5702 Remote Similarity NPC479183
0.5702 Remote Similarity NPC479181
0.5664 Remote Similarity NPC327699
0.5664 Remote Similarity NPC102167
0.5664 Remote Similarity NPC488127
0.5652 Remote Similarity NPC479182
0.5652 Remote Similarity NPC479180
0.5644 Remote Similarity NPC605573
0.5614 Remote Similarity NPC471623
0.5614 Remote Similarity NPC453583
0.5575 Remote Similarity NPC36607
0.5565 Remote Similarity NPC471754
0.5565 Remote Similarity NPC33372
0.5565 Remote Similarity NPC67246
0.5565 Remote Similarity NPC324251
0.5565 Remote Similarity NPC206211
0.5556 Remote Similarity NPC275170
0.5517 Remote Similarity NPC471629
0.5517 Remote Similarity NPC306001
0.5462 Remote Similarity NPC487361
0.541 Remote Similarity NPC472392
0.5378 Remote Similarity NPC486061
0.5378 Remote Similarity NPC486060
0.5259 Remote Similarity NPC473490
0.5259 Remote Similarity NPC478328
0.5243 Remote Similarity NPC229545
0.5243 Remote Similarity NPC248265
0.5243 Remote Similarity NPC134685
0.5143 Remote Similarity NPC155329
0.5143 Remote Similarity NPC114357
0.5079 Remote Similarity NPC479173

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC512088 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
0.6036 Remote Similarity NPD8485 Phase 4
0.5664 Remote Similarity NPD8360 Approved
0.5664 Remote Similarity NPD8361 Phase 4
0.5424 Remote Similarity NPD8486 Phase 1
0.5042 Remote Similarity NPD8368 Phase 2
0.5039 Remote Similarity NPD8462 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