Structure

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Physi-Chem Properties

Molecular Weight:  312.14
Volume:  334.136
LogP:  2.066
LogD:  1.543
LogS:  -2.193
# Rotatable Bonds:  8
TPSA:  74.6
# H-Bond Aceptor:  4
# H-Bond Donor:  2
# Rings:  2
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.734
Synthetic Accessibility Score:  2.1
Fsp3:  0.263
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.087
MDCK Permeability:  1.8474956959835254e-05
Pgp-inhibitor:  0.815
Pgp-substrate:  0.987
Human Intestinal Absorption (HIA):  0.017
20% Bioavailability (F20%):  0.051
30% Bioavailability (F30%):  0.014

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.054
Plasma Protein Binding (PPB):  77.19951629638672%
Volume Distribution (VD):  0.758
Pgp-substrate:  12.090805053710938%

ADMET: Metabolism

CYP1A2-inhibitor:  0.385
CYP1A2-substrate:  0.233
CYP2C19-inhibitor:  0.937
CYP2C19-substrate:  0.059
CYP2C9-inhibitor:  0.889
CYP2C9-substrate:  0.934
CYP2D6-inhibitor:  0.765
CYP2D6-substrate:  0.888
CYP3A4-inhibitor:  0.508
CYP3A4-substrate:  0.242

ADMET: Excretion

Clearance (CL):  16.807
Half-life (T1/2):  0.96

ADMET: Toxicity

hERG Blockers:  0.106
Human Hepatotoxicity (H-HT):  0.168
Drug-inuced Liver Injury (DILI):  0.441
AMES Toxicity:  0.439
Rat Oral Acute Toxicity:  0.255
Maximum Recommended Daily Dose:  0.443
Skin Sensitization:  0.92
Carcinogencity:  0.265
Eye Corrosion:  0.274
Eye Irritation:  0.974
Respiratory Toxicity:  0.726

Download Data

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

  Natural Product: NPC188677

Natural Product ID:  NPC188677
Common Name*:   Letestuianin C
IUPAC Name:   1,7-bis(4-hydroxyphenyl)heptane-3,5-dione
Synonyms:   Tetrahydrobisdemethoxycurcumin
Standard InCHIKey:  KTRRXJQAOOYSDA-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C19H20O4/c20-16-7-1-14(2-8-16)5-11-18(22)13-19(23)12-6-15-3-9-17(21)10-4-15/h1-4,7-10,20-21H,5-6,11-13H2
SMILES:  O=C(CC(=O)CCc1ccc(cc1)O)CCc1ccc(cc1)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL443146
PubChem CID:   9796792
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids
          • [CHEMONTID:0000356] Curcuminoids

*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

☑ 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

☑ 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

☑ 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 NPC188677 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

  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 NPC188677 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

  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