Structure

Physi-Chem Properties

Molecular Weight:  272.24
Volume:  309.026
LogP:  4.884
LogD:  3.734
LogS:  -3.159
# Rotatable Bonds:  14
TPSA:  57.53
# H-Bond Aceptor:  3
# H-Bond Donor:  2
# Rings:  0
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.372
Synthetic Accessibility Score:  2.195
Fsp3:  0.938
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.73
MDCK Permeability:  2.4641458367113955e-05
Pgp-inhibitor:  0.014
Pgp-substrate:  0.152
Human Intestinal Absorption (HIA):  0.023
20% Bioavailability (F20%):  0.999
30% Bioavailability (F30%):  0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.956
Plasma Protein Binding (PPB):  97.44608306884766%
Volume Distribution (VD):  0.907
Pgp-substrate:  1.8486573696136475%

ADMET: Metabolism

CYP1A2-inhibitor:  0.159
CYP1A2-substrate:  0.204
CYP2C19-inhibitor:  0.275
CYP2C19-substrate:  0.063
CYP2C9-inhibitor:  0.295
CYP2C9-substrate:  0.957
CYP2D6-inhibitor:  0.008
CYP2D6-substrate:  0.07
CYP3A4-inhibitor:  0.063
CYP3A4-substrate:  0.034

ADMET: Excretion

Clearance (CL):  5.968
Half-life (T1/2):  0.843

ADMET: Toxicity

hERG Blockers:  0.017
Human Hepatotoxicity (H-HT):  0.039
Drug-inuced Liver Injury (DILI):  0.063
AMES Toxicity:  0.05
Rat Oral Acute Toxicity:  0.047
Maximum Recommended Daily Dose:  0.305
Skin Sensitization:  0.887
Carcinogencity:  0.239
Eye Corrosion:  0.214
Eye Irritation:  0.972
Respiratory Toxicity:  0.901

Download Data

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

  Natural Product: NPC137590

Natural Product ID:  NPC137590
Common Name*:   JGHSBPIZNUXPLA-OAHLLOKOSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JGHSBPIZNUXPLA-OAHLLOKOSA-N
Standard InCHI:  InChI=1S/C16H32O3/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15(17)16(18)19/h15,17H,2-14H2,1H3,(H,18,19)/t15-/m1/s1
SMILES:  CCCCCCCCCCCCCC[C@H](C(=O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   11065598
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0002949] Long-chain fatty acids

*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
NPO997 Peltodon longipes Species Lamiaceae Eukaryota roots Santa Maria, South Brazil 2007-Dec PMID[21775156]
NPO2853 Eschweilera coriacea Species Lecythidaceae Eukaryota bark Suriname rainforest n.a. PMID[9677272]
NPO5665 Ulva pertusa Species Ulvaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5665 Ulva pertusa Species Ulvaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3809 Eucalyptus cladocalyx Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5665 Ulva pertusa Species Ulvaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23741 Aspergillus violaceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1920 Podocarpus elongata Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6621 Salvadora persica Species Salvadoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2853 Eschweilera coriacea Species Lecythidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO997 Peltodon longipes Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5665 Ulva pertusa Species Ulvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3809 Eucalyptus cladocalyx Species Myrtaceae 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 NPC137590 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 NPC137590 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