Structure

Physi-Chem Properties

Molecular Weight:  486.06
Volume:  414.348
LogP:  -0.177
LogD:  0.098
LogS:  -2.926
# Rotatable Bonds:  1
TPSA:  135.45
# H-Bond Aceptor:  9
# H-Bond Donor:  3
# Rings:  6
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.395
Synthetic Accessibility Score:  6.643
Fsp3:  0.789
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:  -5.382
MDCK Permeability:  5.925787718297215e-06
Pgp-inhibitor:  0.377
Pgp-substrate:  0.843
Human Intestinal Absorption (HIA):  0.618
20% Bioavailability (F20%):  0.01
30% Bioavailability (F30%):  0.276

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.01
Plasma Protein Binding (PPB):  56.813472747802734%
Volume Distribution (VD):  0.403
Pgp-substrate:  43.54380798339844%

ADMET: Metabolism

CYP1A2-inhibitor:  0.003
CYP1A2-substrate:  0.084
CYP2C19-inhibitor:  0.064
CYP2C19-substrate:  0.889
CYP2C9-inhibitor:  0.713
CYP2C9-substrate:  0.2
CYP2D6-inhibitor:  0.003
CYP2D6-substrate:  0.053
CYP3A4-inhibitor:  0.052
CYP3A4-substrate:  0.971

ADMET: Excretion

Clearance (CL):  6.368
Half-life (T1/2):  0.834

ADMET: Toxicity

hERG Blockers:  0.001
Human Hepatotoxicity (H-HT):  0.317
Drug-inuced Liver Injury (DILI):  0.994
AMES Toxicity:  0.006
Rat Oral Acute Toxicity:  0.913
Maximum Recommended Daily Dose:  0.025
Skin Sensitization:  0.336
Carcinogencity:  0.683
Eye Corrosion:  0.003
Eye Irritation:  0.007
Respiratory Toxicity:  0.008

Download Data

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

  Natural Product: NPC215910

Natural Product ID:  NPC215910
Common Name*:   PWTRPOVBBGDOBW-KKRNIYGSSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  PWTRPOVBBGDOBW-KKRNIYGSSA-N
Standard InCHI:  InChI=1S/C19H22N2O7S3/c1-29-18-4-6-8(22)2-10(24)14(25)12(6)20(18)17(28)19-5-7-9(23)3-11(30-31-19)15(26)13(7)21(19)16(18)27/h6-7,10-15,24-26H,2-5H2,1H3/t6-,7-,10-,11+,12-,13-,14-,15-,18+,19+/m0/s1
SMILES:  CS[C@]12C[C@H]3C(=O)C[C@@H]([C@@H]([C@H]3N2C(=O)[C@]23C[C@H]4C(=O)C[C@H]([C@@H]([C@H]4N2C1=O)O)SS3)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   46873061
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]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[21612217]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[24328302]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[27203291]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[Title]
NPO28129 Reticulitermes virginicus Species Termitoidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23676 Fleroya rubrostipulata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28219 Euphorbia peplus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18557 Epicoccum nigrum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28114 Peltophorum adnatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23882 Cremastosperma microcarpum Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27974 Swertia leduci Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28310 Phacelocarpus labillardieri Species Phacelocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28982 Calliandra confusa Species Fabaceae 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

☑ 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 NPC215910 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

  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 NPC215910 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

  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