Structure

Physi-Chem Properties

Molecular Weight:  479.23
Volume:  484.352
LogP:  2.935
LogD:  3.081
LogS:  -4.393
# Rotatable Bonds:  2
TPSA:  109.25
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.492
Synthetic Accessibility Score:  5.089
Fsp3:  0.72
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.72
MDCK Permeability:  2.8589829526026733e-05
Pgp-inhibitor:  0.988
Pgp-substrate:  0.993
Human Intestinal Absorption (HIA):  0.015
20% Bioavailability (F20%):  0.273
30% Bioavailability (F30%):  0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.435
Plasma Protein Binding (PPB):  60.13142395019531%
Volume Distribution (VD):  0.388
Pgp-substrate:  18.952926635742188%

ADMET: Metabolism

CYP1A2-inhibitor:  0.054
CYP1A2-substrate:  0.156
CYP2C19-inhibitor:  0.1
CYP2C19-substrate:  0.47
CYP2C9-inhibitor:  0.056
CYP2C9-substrate:  0.186
CYP2D6-inhibitor:  0.009
CYP2D6-substrate:  0.475
CYP3A4-inhibitor:  0.783
CYP3A4-substrate:  0.471

ADMET: Excretion

Clearance (CL):  12.691
Half-life (T1/2):  0.111

ADMET: Toxicity

hERG Blockers:  0.091
Human Hepatotoxicity (H-HT):  0.884
Drug-inuced Liver Injury (DILI):  0.838
AMES Toxicity:  0.124
Rat Oral Acute Toxicity:  0.878
Maximum Recommended Daily Dose:  0.941
Skin Sensitization:  0.332
Carcinogencity:  0.891
Eye Corrosion:  0.039
Eye Irritation:  0.027
Respiratory Toxicity:  0.971

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC202591

Natural Product ID:  NPC202591
Common Name*:   Epothilone A8
IUPAC Name:   (1R,5S,6S,7R,10S,14S,16S)-6,10-dihydroxy-5,7,9,9-tetramethyl-14-[(E)-2-(2-methyl-1,3-thiazol-4-yl)ethenyl]-13,17-dioxabicyclo[14.1.0]heptadecane-8,12-dione
Synonyms:   Epothilone A8
Standard InCHIKey:  HQOMWNCHRWPRQE-PAHOANEJSA-N
Standard InCHI:  InChI=1S/C25H37NO6S/c1-14-7-6-8-19-20(32-19)11-18(10-9-17-13-33-16(3)26-17)31-22(28)12-21(27)25(4,5)24(30)15(2)23(14)29/h9-10,13-15,18-21,23,27,29H,6-8,11-12H2,1-5H3/b10-9+/t14-,15+,18+,19+,20-,21-,23-/m0/s1
SMILES:  C[C@H]1CCC[C@@H]2[C@H](C[C@@H](/C=C/c3csc(C)n3)OC(=O)C[C@@H](C(C)(C)C(=O)[C@H](C)[C@H]1O)O)O2
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL512877
PubChem CID:   9913011
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000147] Macrolides and analogues

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO32627 sorangium cellulosum, strains so ce90/b2 Species Polyangiaceae Bacteria n.a. n.a. n.a. PMID[11473410]

☑ 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 NP ID 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

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1460 Cell Line L929 Mus musculus IC50 = 0.02 ug.mL-1 PMID[497130]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC202591 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID
0.9861 High Similarity NPC212214
0.9793 High Similarity NPC21126
0.9726 High Similarity NPC474538
0.9726 High Similarity NPC52587
0.9722 High Similarity NPC474515
0.9722 High Similarity NPC206724
0.966 High Similarity NPC231110
0.9653 High Similarity NPC474067
0.9595 High Similarity NPC312887
0.9586 High Similarity NPC163147
0.9586 High Similarity NPC45576
0.9586 High Similarity NPC61667
0.9586 High Similarity NPC474090
0.9586 High Similarity NPC32583
0.9586 High Similarity NPC109498
0.9586 High Similarity NPC252616
0.9521 High Similarity NPC268063
0.9521 High Similarity NPC224609
0.9517 High Similarity NPC475737
0.9517 High Similarity NPC474094
0.9517 High Similarity NPC185665
0.9452 High Similarity NPC154873
0.9448 High Similarity NPC157194
0.9448 High Similarity NPC21449
0.9448 High Similarity NPC474080
0.9448 High Similarity NPC475683
0.9448 High Similarity NPC474102
0.9448 High Similarity NPC474079
0.9379 High Similarity NPC82436
0.9379 High Similarity NPC474103
0.9379 High Similarity NPC474068
0.9379 High Similarity NPC474064
0.9329 High Similarity NPC127775
0.9306 High Similarity NPC474069
0.8552 High Similarity NPC474070
0.7945 Intermediate Similarity NPC475604
0.7862 Intermediate Similarity NPC475568
0.7246 Intermediate Similarity NPC315252
0.7205 Intermediate Similarity NPC190329
0.7188 Intermediate Similarity NPC469801
0.7135 Intermediate Similarity NPC12660
0.7093 Intermediate Similarity NPC54983
0.6959 Remote Similarity NPC211555
0.6951 Remote Similarity NPC319751
0.6901 Remote Similarity NPC186452
0.6826 Remote Similarity NPC119481
0.6766 Remote Similarity NPC473398
0.6667 Remote Similarity NPC470146
0.6667 Remote Similarity NPC97078
0.6667 Remote Similarity NPC101980
0.6477 Remote Similarity NPC522
0.6477 Remote Similarity NPC56058
0.6354 Remote Similarity NPC164006
0.6302 Remote Similarity NPC165538
0.6292 Remote Similarity NPC210424
0.6283 Remote Similarity NPC122427
0.6278 Remote Similarity NPC475554
0.6236 Remote Similarity NPC216720
0.6215 Remote Similarity NPC469858
0.6198 Remote Similarity NPC329961
0.6183 Remote Similarity NPC132662
0.6162 Remote Similarity NPC473704
0.6136 Remote Similarity NPC14101
0.6108 Remote Similarity NPC134480
0.6033 Remote Similarity NPC24990
0.6 Remote Similarity NPC475350
0.6 Remote Similarity NPC145178
0.6 Remote Similarity NPC14877
0.5926 Remote Similarity NPC161242
0.5924 Remote Similarity NPC473886
0.592 Remote Similarity NPC475390
0.5913 Remote Similarity NPC251036
0.5842 Remote Similarity NPC475534
0.5842 Remote Similarity NPC476080
0.5829 Remote Similarity NPC476103
0.5829 Remote Similarity NPC239660
0.5829 Remote Similarity NPC106235
0.5781 Remote Similarity NPC263485
0.5781 Remote Similarity NPC229160
0.5781 Remote Similarity NPC25316
0.5747 Remote Similarity NPC475196
0.5729 Remote Similarity NPC475330
0.5722 Remote Similarity NPC161143
0.5699 Remote Similarity NPC174652
0.5691 Remote Similarity NPC30527
0.5625 Remote Similarity NPC478251
0.5625 Remote Similarity NPC478252

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC202591 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.9793 High Similarity NPD6910 Phase 3
0.9524 High Similarity NPD6911 Discontinued
0.9517 High Similarity NPD6907 Phase 2
0.9281 High Similarity NPD6916 Clinical (unspecified phase)
0.8571 High Similarity NPD6915 Approved
0.7306 Intermediate Similarity NPD7496 Phase 2
0.6379 Remote Similarity NPD5189 Clinical (unspecified phase)
0.6307 Remote Similarity NPD5634 Approved
0.6237 Remote Similarity NPD2957 Phase 2
0.6031 Remote Similarity NPD6348 Clinical (unspecified phase)
0.5897 Remote Similarity NPD6349 Phase 1
0.5893 Remote Similarity NPD1083 Clinical (unspecified phase)
0.5882 Remote Similarity NPD6870 Phase 1
0.5829 Remote Similarity NPD8339 Clinical (unspecified phase)
0.5641 Remote Similarity NPD7977 Clinical (unspecified phase)

  Bioactivity similarity: Similar Natural Products in NPASS

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