Structure

Physi-Chem Properties

Molecular Weight:  496.18
Volume:  466.297
LogP:  2.238
LogD:  1.876
LogS:  -4.428
# Rotatable Bonds:  8
TPSA:  118.28
# H-Bond Aceptor:  10
# H-Bond Donor:  0
# Rings:  9
# Heavy Atoms:  10

MedChem Properties

QED Drug-Likeness Score:  0.303
Synthetic Accessibility Score:  7.668
Fsp3:  0.692
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.364
MDCK Permeability:  5.490731564350426e-05
Pgp-inhibitor:  0.99
Pgp-substrate:  0.942
Human Intestinal Absorption (HIA):  0.202
20% Bioavailability (F20%):  0.995
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.358
Plasma Protein Binding (PPB):  36.032745361328125%
Volume Distribution (VD):  0.754
Pgp-substrate:  60.916786193847656%

ADMET: Metabolism

CYP1A2-inhibitor:  0.007
CYP1A2-substrate:  0.152
CYP2C19-inhibitor:  0.07
CYP2C19-substrate:  0.787
CYP2C9-inhibitor:  0.158
CYP2C9-substrate:  0.035
CYP2D6-inhibitor:  0.06
CYP2D6-substrate:  0.075
CYP3A4-inhibitor:  0.331
CYP3A4-substrate:  0.93

ADMET: Excretion

Clearance (CL):  2.0
Half-life (T1/2):  0.667

ADMET: Toxicity

hERG Blockers:  0.137
Human Hepatotoxicity (H-HT):  0.595
Drug-inuced Liver Injury (DILI):  0.974
AMES Toxicity:  0.164
Rat Oral Acute Toxicity:  0.159
Maximum Recommended Daily Dose:  0.906
Skin Sensitization:  0.709
Carcinogencity:  0.652
Eye Corrosion:  0.003
Eye Irritation:  0.007
Respiratory Toxicity:  0.114

Download Data

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

  Natural Product: NPC265144

Natural Product ID:  NPC265144
Common Name*:   UGMZFKMKGHFMID-PLRINBPLSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  UGMZFKMKGHFMID-PLRINBPLSA-N
Standard InCHI:  InChI=1S/C26H28N2O8/c1-3-4-5-6-18(30)34-15-8-17-26(22-20(15)36-22)10-13-23(31)27-12(24(32)28(13)17)9-25(26)16(27)7-14(33-11(2)29)19-21(25)35-19/h7-8,12-15,19-22H,3-6,9-10H2,1-2H3/t12-,13-,14+,15+,19-,20-,21-,22-,25-,26-/m0/s1
SMILES:  CCCCCC(=O)O[C@@H]1C=C2[C@@]3(C[C@H]4C(=O)N5[C@@H](C[C@]63C5=C[C@H]([C@H]3[C@@H]6O3)OC(=O)C)C(=O)N24)[C@@H]2[C@H]1O2
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000347] Amino acids and derivatives
            • [CHEMONTID:0000060] Alpha amino acids 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

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO8538 Spiraea cantoniensis Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[20329740]
NPO3447 Beaumontia murtonii Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[28598616]
NPO26637 Mentha aquatica Species Lamiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO26637 Mentha aquatica Species Lamiaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO26637 Mentha aquatica Species Lamiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO6327 Garcinia smeathmannii Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6327 Garcinia smeathmannii Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5341 Ocimum minimum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1546 Parmelia scabrosa Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4028 Stapelia gigantea Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8538 Spiraea cantoniensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26637 Mentha aquatica Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3447 Beaumontia murtonii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8309 Phyllospongia vermicularis Species Thorectidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6327 Garcinia smeathmannii Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1050 Hackelia floribunda Species Boraginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO645 Gentianella austriaca Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1204 Ballota saxatilis Species Lamiaceae 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 NPC265144 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 NPC265144 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