Structure

Physi-Chem Properties

Molecular Weight:  302.09
Volume:  320.256
LogP:  4.54
LogD:  3.666
LogS:  -5.921
# Rotatable Bonds:  2
TPSA:  46.53
# H-Bond Aceptor:  3
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.761
Synthetic Accessibility Score:  2.496
Fsp3:  0.05
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.913
MDCK Permeability:  1.4686241229355801e-05
Pgp-inhibitor:  0.4
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.005
30% Bioavailability (F30%):  0.236

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.131
Plasma Protein Binding (PPB):  99.87445831298828%
Volume Distribution (VD):  0.419
Pgp-substrate:  1.0241162776947021%

ADMET: Metabolism

CYP1A2-inhibitor:  0.977
CYP1A2-substrate:  0.659
CYP2C19-inhibitor:  0.944
CYP2C19-substrate:  0.074
CYP2C9-inhibitor:  0.849
CYP2C9-substrate:  0.926
CYP2D6-inhibitor:  0.711
CYP2D6-substrate:  0.894
CYP3A4-inhibitor:  0.557
CYP3A4-substrate:  0.184

ADMET: Excretion

Clearance (CL):  3.707
Half-life (T1/2):  0.263

ADMET: Toxicity

hERG Blockers:  0.325
Human Hepatotoxicity (H-HT):  0.188
Drug-inuced Liver Injury (DILI):  0.884
AMES Toxicity:  0.853
Rat Oral Acute Toxicity:  0.456
Maximum Recommended Daily Dose:  0.899
Skin Sensitization:  0.935
Carcinogencity:  0.841
Eye Corrosion:  0.01
Eye Irritation:  0.958
Respiratory Toxicity:  0.776

Download Data

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

  Natural Product: NPC3973

Natural Product ID:  NPC3973
Common Name*:   YBNVZTRILGRXEI-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  YBNVZTRILGRXEI-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C20H14O3/c1-23-20-17(22)11-13-7-10-16(21)15-9-8-14(19(20)18(13)15)12-5-3-2-4-6-12/h2-11,22H,1H3
SMILES:  COc1c(cc2C=CC(=O)c3ccc(c4ccccc4)c1c23)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   85730238
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000023] Naphthalenes
        • [CHEMONTID:0002044] Phenylnaphthalenes

*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
NPO22441 Senna spectabilis Species Fabaceae Eukaryota flowers n.a. n.a. PMID[30413343]
NPO23044 Aesculus hippocastanum Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[3783160]
NPO23044 Aesculus hippocastanum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10654 Lindera obtusiloba Species Lauraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23044 Aesculus hippocastanum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10654 Lindera obtusiloba Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16782 Andrographis viscosula Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10654 Lindera obtusiloba Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23044 Aesculus hippocastanum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10654 Lindera obtusiloba Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16548 Chenopodium formosanum Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10654 Lindera obtusiloba Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5869 Anthocercis albicans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22441 Senna spectabilis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10984 Euclea crispa Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11360 Tiliacora racemosa Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18427 Axinella agnata Species Axinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17900 Iotrochota birotulata Species Iotrochotidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3096 Verbascum laxum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10064 Diospyros canaliculata Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19091 Bacterium from n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO23044 Aesculus hippocastanum Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16782 Andrographis viscosula Species Acanthaceae 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 NPC3973 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 NPC3973 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