Structure

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Physi-Chem Properties

Molecular Weight:  254.09
Volume:  273.458
LogP:  3.885
LogD:  3.148
LogS:  -3.634
# Rotatable Bonds:  4
TPSA:  57.53
# H-Bond Aceptor:  3
# H-Bond Donor:  2
# Rings:  2
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.65
Synthetic Accessibility Score:  2.433
Fsp3:  0.062
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:  -4.652
MDCK Permeability:  1.533011527499184e-05
Pgp-inhibitor:  0.009
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.011
20% Bioavailability (F20%):  0.935
30% Bioavailability (F30%):  0.937

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.109
Plasma Protein Binding (PPB):  99.43207550048828%
Volume Distribution (VD):  0.507
Pgp-substrate:  0.7179482579231262%

ADMET: Metabolism

CYP1A2-inhibitor:  0.944
CYP1A2-substrate:  0.101
CYP2C19-inhibitor:  0.731
CYP2C19-substrate:  0.058
CYP2C9-inhibitor:  0.549
CYP2C9-substrate:  0.795
CYP2D6-inhibitor:  0.856
CYP2D6-substrate:  0.834
CYP3A4-inhibitor:  0.621
CYP3A4-substrate:  0.224

ADMET: Excretion

Clearance (CL):  6.893
Half-life (T1/2):  0.592

ADMET: Toxicity

hERG Blockers:  0.015
Human Hepatotoxicity (H-HT):  0.033
Drug-inuced Liver Injury (DILI):  0.147
AMES Toxicity:  0.324
Rat Oral Acute Toxicity:  0.036
Maximum Recommended Daily Dose:  0.448
Skin Sensitization:  0.688
Carcinogencity:  0.466
Eye Corrosion:  0.055
Eye Irritation:  0.959
Respiratory Toxicity:  0.653

Download Data

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

  Natural Product: NPC295034

Natural Product ID:  NPC295034
Common Name*:   Magnaldehyde
IUPAC Name:   4-hydroxy-3-(2-hydroxy-5-prop-2-enylphenyl)benzaldehyde
Synonyms:   Magnaldehyde; Magnaldehyde D
Standard InCHIKey:  KDWYPRNOEMXUNA-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C16H14O3/c1-2-3-11-4-6-15(18)13(8-11)14-9-12(10-17)5-7-16(14)19/h2,4-10,18-19H,1,3H2
SMILES:  C=CCc1ccc(c(c1)c1cc(C=O)ccc1O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL550166
PubChem CID:   5319189
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002279] Benzene and substituted derivatives
        • [CHEMONTID:0000041] Biphenyls 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

☑ 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 NPC295034 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 NPC295034 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