Structure

Physi-Chem Properties

Molecular Weight:  328.17
Volume:  348.149
LogP:  3.122
LogD:  1.908
LogS:  -4.064
# Rotatable Bonds:  2
TPSA:  71.44
# H-Bond Aceptor:  4
# H-Bond Donor:  1
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.667
Synthetic Accessibility Score:  4.937
Fsp3:  0.55
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Accepted
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.777
MDCK Permeability:  2.4413309802184813e-05
Pgp-inhibitor:  0.047
Pgp-substrate:  0.008
Human Intestinal Absorption (HIA):  0.02
20% Bioavailability (F20%):  0.375
30% Bioavailability (F30%):  0.506

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.156
Plasma Protein Binding (PPB):  72.59192657470703%
Volume Distribution (VD):  1.392
Pgp-substrate:  11.156501770019531%

ADMET: Metabolism

CYP1A2-inhibitor:  0.236
CYP1A2-substrate:  0.793
CYP2C19-inhibitor:  0.247
CYP2C19-substrate:  0.75
CYP2C9-inhibitor:  0.257
CYP2C9-substrate:  0.678
CYP2D6-inhibitor:  0.402
CYP2D6-substrate:  0.173
CYP3A4-inhibitor:  0.746
CYP3A4-substrate:  0.49

ADMET: Excretion

Clearance (CL):  7.949
Half-life (T1/2):  0.132

ADMET: Toxicity

hERG Blockers:  0.011
Human Hepatotoxicity (H-HT):  0.132
Drug-inuced Liver Injury (DILI):  0.669
AMES Toxicity:  0.016
Rat Oral Acute Toxicity:  0.579
Maximum Recommended Daily Dose:  0.882
Skin Sensitization:  0.266
Carcinogencity:  0.738
Eye Corrosion:  0.005
Eye Irritation:  0.552
Respiratory Toxicity:  0.723

Download Data

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

  Natural Product: NPC251767

Natural Product ID:  NPC251767
Common Name*:   DLYLYXIDKXMSDL-GQWAEJPESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  DLYLYXIDKXMSDL-GQWAEJPESA-N
Standard InCHI:  InChI=1S/C20H24O4/c1-10(2)11-6-12-14(7-15(11)22)20(5)8-13(17(12)23)18(24)19(3,4)16(20)9-21/h6-7,9-10,13,16,22H,8H2,1-5H3/t13-,16+,20+/m0/s1
SMILES:  CC(C)c1cc2c(cc1O)[C@@]1(C)C[C@@H](C2=O)C(=O)C(C)(C)[C@H]1C=O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000048] Tetralins

*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
NPO17318 Streptomyces cyaneus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[21462031]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5124 Aconitum ibukiense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12311 Graphis handelii Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14653 Haliotis diversicolor Species Haliotidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14339 Fevillea trilobata Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25141 Mycetinis alliaceus Species Omphalotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15612 Glaucium oxylobum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17251 Aniba firmula Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3705 Anacardium humile Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13361 Clerodendrum tomentosum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17158 Trichocereus bridgesii Species Cactaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17318 Streptomyces cyaneus Species Streptomycetaceae Bacteria 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 NPC251767 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 NPC251767 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