Structure

Physi-Chem Properties

Molecular Weight:  422.49
Volume:  527.436
LogP:  12.109
LogD:  8.382
LogS:  -7.975
# Rotatable Bonds:  21
TPSA:  0.0
# H-Bond Aceptor:  0
# H-Bond Donor:  0
# Rings:  0
# Heavy Atoms:  0

MedChem Properties

QED Drug-Likeness Score:  0.161
Synthetic Accessibility Score:  3.085
Fsp3:  1.0
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.82
MDCK Permeability:  4.145770162722329e-06
Pgp-inhibitor:  0.002
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.002
20% Bioavailability (F20%):  0.102
30% Bioavailability (F30%):  0.897

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.273
Plasma Protein Binding (PPB):  100.4604721069336%
Volume Distribution (VD):  3.608
Pgp-substrate:  1.4609293937683105%

ADMET: Metabolism

CYP1A2-inhibitor:  0.042
CYP1A2-substrate:  0.133
CYP2C19-inhibitor:  0.098
CYP2C19-substrate:  0.25
CYP2C9-inhibitor:  0.08
CYP2C9-substrate:  0.975
CYP2D6-inhibitor:  0.001
CYP2D6-substrate:  0.006
CYP3A4-inhibitor:  0.125
CYP3A4-substrate:  0.068

ADMET: Excretion

Clearance (CL):  5.816
Half-life (T1/2):  0.004

ADMET: Toxicity

hERG Blockers:  0.083
Human Hepatotoxicity (H-HT):  0.019
Drug-inuced Liver Injury (DILI):  0.415
AMES Toxicity:  0.004
Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.022
Skin Sensitization:  0.968
Carcinogencity:  0.017
Eye Corrosion:  0.993
Eye Irritation:  0.902
Respiratory Toxicity:  0.06

Download Data

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

  Natural Product: NPC172053

Natural Product ID:  NPC172053
Common Name*:   Squalane
IUPAC Name:   2,6,10,15,19,23-hexamethyltetracosane
Synonyms:   Squalane
Standard InCHIKey:  PRAKJMSDJKAYCZ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C30H62/c1-25(2)15-11-19-29(7)23-13-21-27(5)17-9-10-18-28(6)22-14-24-30(8)20-12-16-26(3)4/h25-30H,9-24H2,1-8H3
SMILES:  CC(CCCC(CCCC(C)C)C)CCCCC(CCCC(CCCC(C)C)C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL1552157
PubChem CID:   8089
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

*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
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. PMID[20815207]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. bark n.a. PMID[21319773]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. leaf n.a. PMID[22207282]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[23806866]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. Konya, Turkey 2007-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota root bark University of Veterinary and Pharmaceutical Sciences Brno (UVPS Brno), Brno, Czech Republic 2011-APR PMID[24901948]
NPO28265 Morus alba Species Moraceae Eukaryota leaves Chungbuk, Korea n.a. PMID[25935644]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. root n.a. PMID[25981820]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. latex n.a. PMID[27294120]
NPO28265 Morus alba Species Moraceae Eukaryota Root barks n.a. n.a. PMID[3097265]
NPO7170 Tylophora ovata Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1470 Fructus psoraleae corylifoliae n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO7170 Tylophora ovata Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28265 Morus alba Species Moraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28265 Morus alba Species Moraceae 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
NPT483 Individual Protein Prelamin-A/C Homo sapiens Potency = 31622.8 nM PMID[549061]
NPT2 Others Unspecified Potency n.a. 668.2 nM PubChem BioAssay data set
NPT2 Others Unspecified Potency n.a. 13333.2 nM PubChem BioAssay data set
NPT2 Others Unspecified Potency n.a. 15089 nM PubChem BioAssay data set
NPT2 Others Unspecified Potency n.a. 1059 nM PubChem BioAssay data set
NPT2 Others Unspecified Potency n.a. 26603.2 nM PubChem BioAssay data set

☑ 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 NPC172053 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
0.8 Intermediate Similarity NPC14312
0.8 Intermediate Similarity NPC27501
0.7391 Intermediate Similarity NPC154477
0.7391 Intermediate Similarity NPC77249
0.7391 Intermediate Similarity NPC239406
0.7391 Intermediate Similarity NPC26974
0.7391 Intermediate Similarity NPC26229
0.7143 Intermediate Similarity NPC7777
0.6957 Remote Similarity NPC89422
0.6552 Remote Similarity NPC133792
0.6538 Remote Similarity NPC234888
0.6522 Remote Similarity NPC136996
0.6522 Remote Similarity NPC227986
0.6522 Remote Similarity NPC273385
0.6522 Remote Similarity NPC82648
0.6522 Remote Similarity NPC278711
0.6522 Remote Similarity NPC64370
0.6522 Remote Similarity NPC302327
0.64 Remote Similarity NPC59846
0.64 Remote Similarity NPC252008
0.6389 Remote Similarity NPC221022
0.6296 Remote Similarity NPC47161
0.6087 Remote Similarity NPC224874
0.6087 Remote Similarity NPC110911
0.6 Remote Similarity NPC92224
0.6 Remote Similarity NPC328441
0.5938 Remote Similarity NPC321646
0.5897 Remote Similarity NPC474125
0.5897 Remote Similarity NPC474126
0.5833 Remote Similarity NPC177022
0.5789 Remote Similarity NPC469759
0.5789 Remote Similarity NPC160261
0.5676 Remote Similarity NPC223315
0.5676 Remote Similarity NPC266298
0.5667 Remote Similarity NPC256060
0.5667 Remote Similarity NPC29199
0.5652 Remote Similarity NPC98925
0.5641 Remote Similarity NPC15231
0.56 Remote Similarity NPC152459

  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 NPC172053 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
NPD

  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