Structure

Physi-Chem Properties

Molecular Weight:  469.06
Volume:  428.178
LogP:  5.32
LogD:  4.114
LogS:  -6.645
# Rotatable Bonds:  5
TPSA:  40.16
# H-Bond Aceptor:  5
# H-Bond Donor:  0
# Rings:  4
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.552
Synthetic Accessibility Score:  3.46
Fsp3:  0.364
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.641
MDCK Permeability:  2.4613715140731074e-05
Pgp-inhibitor:  0.014
Pgp-substrate:  0.777
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.507

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.134
Plasma Protein Binding (PPB):  97.71339416503906%
Volume Distribution (VD):  0.618
Pgp-substrate:  1.7996931076049805%

ADMET: Metabolism

CYP1A2-inhibitor:  0.504
CYP1A2-substrate:  0.955
CYP2C19-inhibitor:  0.9
CYP2C19-substrate:  0.944
CYP2C9-inhibitor:  0.582
CYP2C9-substrate:  0.897
CYP2D6-inhibitor:  0.13
CYP2D6-substrate:  0.926
CYP3A4-inhibitor:  0.948
CYP3A4-substrate:  0.94

ADMET: Excretion

Clearance (CL):  7.584
Half-life (T1/2):  0.214

ADMET: Toxicity

hERG Blockers:  0.136
Human Hepatotoxicity (H-HT):  0.318
Drug-inuced Liver Injury (DILI):  0.629
AMES Toxicity:  0.634
Rat Oral Acute Toxicity:  0.302
Maximum Recommended Daily Dose:  0.951
Skin Sensitization:  0.164
Carcinogencity:  0.122
Eye Corrosion:  0.003
Eye Irritation:  0.013
Respiratory Toxicity:  0.944

Download Data

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

  Natural Product: NPC88536

Natural Product ID:  NPC88536
Common Name*:   FHXWFRSCCGCKAD-NRFANRHFSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FHXWFRSCCGCKAD-NRFANRHFSA-N
Standard InCHI:  InChI=1S/C22H22Cl3NO4/c1-27-16-6-5-13-9-15-14-11-18(29-3)17(28-2)10-12(14)7-8-26(15)21(22(23,24)25)19(13)20(16)30-4/h5-6,9-11,21H,7-8H2,1-4H3/t21-/m0/s1
SMILES:  COc1ccc2C=C3c4cc(c(cc4CCN3[C@@H](c2c1OC)C(Cl)(Cl)Cl)OC)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0001909] Protoberberine alkaloids 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
NPO8212 Ligularia nelumbifolia Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[12088436]
NPO25510 Plectranthus ernstii Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19445517]
NPO8212 Ligularia nelumbifolia Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[22472691]
NPO28026 Grifola frondosa Species Schizophyllaceae Eukaryota n.a. n.a. Database[FooDB]
NPO859 Berberis oblonga Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO859 Berberis oblonga Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8212 Ligularia nelumbifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8077 Artocarpus incisa Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8212 Ligularia nelumbifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8077 Artocarpus incisa Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25510 Plectranthus ernstii Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO435 Bohadschia marmorata Species Holothuriidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28026 Grifola frondosa Species Schizophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO859 Berberis oblonga Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1114 Cetraria australiensis Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10518 Chrysanthemum myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO595 Tephrosia falciformis Species Geometridae 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 NPC88536 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 NPC88536 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