Structure

Physi-Chem Properties

Molecular Weight:  438.06
Volume:  369.986
LogP:  -0.385
LogD:  -0.116
LogS:  -1.374
# Rotatable Bonds:  0
TPSA:  135.45
# H-Bond Aceptor:  9
# H-Bond Donor:  3
# Rings:  7
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.381
Synthetic Accessibility Score:  7.545
Fsp3:  0.778
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:  -5.576
MDCK Permeability:  6.796993602620205e-06
Pgp-inhibitor:  0.085
Pgp-substrate:  0.897
Human Intestinal Absorption (HIA):  0.049
20% Bioavailability (F20%):  0.008
30% Bioavailability (F30%):  0.018

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.018
Plasma Protein Binding (PPB):  70.23714447021484%
Volume Distribution (VD):  0.471
Pgp-substrate:  26.52149772644043%

ADMET: Metabolism

CYP1A2-inhibitor:  0.003
CYP1A2-substrate:  0.069
CYP2C19-inhibitor:  0.023
CYP2C19-substrate:  0.894
CYP2C9-inhibitor:  0.163
CYP2C9-substrate:  0.139
CYP2D6-inhibitor:  0.003
CYP2D6-substrate:  0.053
CYP3A4-inhibitor:  0.07
CYP3A4-substrate:  0.969

ADMET: Excretion

Clearance (CL):  3.397
Half-life (T1/2):  0.779

ADMET: Toxicity

hERG Blockers:  0.002
Human Hepatotoxicity (H-HT):  0.619
Drug-inuced Liver Injury (DILI):  0.998
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.949
Maximum Recommended Daily Dose:  0.018
Skin Sensitization:  0.325
Carcinogencity:  0.837
Eye Corrosion:  0.003
Eye Irritation:  0.007
Respiratory Toxicity:  0.002

Download Data

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

  Natural Product: NPC469800

Natural Product ID:  NPC469800
Common Name*:   Epicoccin E
IUPAC Name:   n.a.
Synonyms:   Epicoccin E
Standard InCHIKey:  KVJHKMONYMMFLY-KZOHNSNHSA-N
Standard InCHI:  InChI=1S/C18H18N2O7S2/c21-6-1-7-11(23)8-4(6)2-17(28-7)15(26)20-9-5-3-18(20,16(27)19(8)17)29-14(10(5)22)13(25)12(9)24/h4-5,7-9,11-14,23-25H,1-3H2/t4-,5+,7+,8-,9-,11-,12+,13+,14+,17+,18+/m0/s1
SMILES:  O=C1C[C@H]2S[C@@]34C[C@@H]1[C@@H]([C@H]2O)N3C(=O)[C@]12N(C4=O)[C@@H]3[C@@H](O)[C@H]([C@H](S1)C(=O)[C@@H]3C2)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL1173393
PubChem CID:   44614132
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000347] Amino acids and derivatives
            • [CHEMONTID:0000060] Alpha amino acids and derivatives

*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
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[17711348]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[19919067]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. The fungus is isolated from the leaves of L. rhodostegia, collected in June 2007 at Nanning, Guangxi Province, China 2007-JUN PMID[20550196]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[24328302]
NPO33508 Phoma sp. OUCMDZ-1847 Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[24370114]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO18557 Epicoccum nigrum Species Didymellaceae 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 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
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. IC50 = 1980.0 nM PMID[536007]

☑ 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 NPC469800 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
0.9265 High Similarity NPC243412
0.8855 High Similarity NPC8325
0.8636 High Similarity NPC220396
0.8571 High Similarity NPC25327
0.8321 Intermediate Similarity NPC266910
0.8271 Intermediate Similarity NPC211848
0.8154 Intermediate Similarity NPC28542
0.8062 Intermediate Similarity NPC309731
0.7669 Intermediate Similarity NPC271115
0.7635 Intermediate Similarity NPC276822
0.6533 Remote Similarity NPC41162
0.6443 Remote Similarity NPC262880
0.6443 Remote Similarity NPC247902
0.6306 Remote Similarity NPC88943
0.6149 Remote Similarity NPC956
0.5789 Remote Similarity NPC475342
0.5695 Remote Similarity NPC17581
0.5695 Remote Similarity NPC476155
0.5658 Remote Similarity NPC470788

  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 NPC469800 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
0.6049 Remote Similarity NPD5193 Discontinued

  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