Structure

Physi-Chem Properties

Molecular Weight:  674.22
Volume:  656.131
LogP:  5.637
LogD:  4.283
LogS:  -4.438
# Rotatable Bonds:  7
TPSA:  143.89
# H-Bond Aceptor:  10
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.277
Synthetic Accessibility Score:  5.431
Fsp3:  0.5
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.782
MDCK Permeability:  1.3081491488264874e-05
Pgp-inhibitor:  0.994
Pgp-substrate:  0.005
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.032
30% Bioavailability (F30%):  0.868

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.679
Plasma Protein Binding (PPB):  95.80225372314453%
Volume Distribution (VD):  0.759
Pgp-substrate:  4.042376518249512%

ADMET: Metabolism

CYP1A2-inhibitor:  0.037
CYP1A2-substrate:  0.083
CYP2C19-inhibitor:  0.672
CYP2C19-substrate:  0.136
CYP2C9-inhibitor:  0.854
CYP2C9-substrate:  0.726
CYP2D6-inhibitor:  0.061
CYP2D6-substrate:  0.124
CYP3A4-inhibitor:  0.913
CYP3A4-substrate:  0.775

ADMET: Excretion

Clearance (CL):  4.103
Half-life (T1/2):  0.106

ADMET: Toxicity

hERG Blockers:  0.099
Human Hepatotoxicity (H-HT):  0.935
Drug-inuced Liver Injury (DILI):  0.944
AMES Toxicity:  0.061
Rat Oral Acute Toxicity:  0.501
Maximum Recommended Daily Dose:  0.591
Skin Sensitization:  0.094
Carcinogencity:  0.114
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.036

Download Data

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

  Natural Product: NPC193019

Natural Product ID:  NPC193019
Common Name*:   WNKVYYZASJQZMX-YFBMXWBHSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  WNKVYYZASJQZMX-YFBMXWBHSA-N
Standard InCHI:  InChI=1S/C34H40Cl2N2O8/c1-18(2)13-27-34(43)44-26(20(4)30-31(46-30)22-9-6-5-7-10-22)11-8-12-28(39)38-25(32(41)37-17-19(3)33(42)45-27)16-21-14-23(35)29(40)24(36)15-21/h5-10,12,14-15,18-20,25-27,30-31,40H,11,13,16-17H2,1-4H3,(H,37,41)(H,38,39)/b12-8+/t19-,20+,25-,26+,27+,30-,31-/m1/s1
SMILES:  CC(C)C[C@H]1C(=O)O[C@@H](C/C=C/C(=N[C@H](Cc2cc(c(c(c2)Cl)O)Cl)C(=NC[C@@H](C)C(=O)O1)O)O)[C@H](C)[C@@H]1[C@@H](c2ccccc2)O1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10699692
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0001813] Peptidomimetics
        • [CHEMONTID:0002010] Hybrid peptides

*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
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. aerial part n.a. DOI[10.1021/jo00416a020]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[11473413]
NPO4541 Capnella lacertiliensis Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[12608844]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota leaves n.a. n.a. PMID[17243726]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[24476550]
NPO8305 Katsuwonus pelamis Species Scombridae Eukaryota n.a. n.a. Database[FooDB]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12744 Ajuga nipponensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28833 Eleutherococcus sieboldianus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19804 Lycopodium saururus Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5335 0stoc sp Species 0stocaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO834 Peperomia clusiifolia Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8623 Anneissia japonica Species Comatulidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9705 Meyerozyma guilliermondii Species Debaryomycetaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7788 Rana catesbeiana Species Ranidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4541 Capnella lacertiliensis Species Nephtheidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19541 Smilax moranensis Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1537 Vaccinium arctostaphylos Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8305 Katsuwonus pelamis Species Scombridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8426 Tinospora rumphii Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7240 Osteospermum oppositifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10879 Lasius meridionalis Species Formicidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4198 Ungernia vvedenskyi Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12744 Ajuga nipponensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23436 Cladrastis sikokiana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1969 Streptomyces pilosus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO8811 Cytisus prolifer 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 NPC193019 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 NPC193019 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