Structure

Physi-Chem Properties

Molecular Weight:  271.12
Volume:  244.811
LogP:  -1.148
LogD:  -0.56
LogS:  -1.275
# Rotatable Bonds:  0
TPSA:  137.4
# H-Bond Aceptor:  8
# H-Bond Donor:  6
# Rings:  3
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.322
Synthetic Accessibility Score:  6.474
Fsp3:  0.818
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.884
MDCK Permeability:  5.5773209169274196e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.997
Human Intestinal Absorption (HIA):  0.07
20% Bioavailability (F20%):  0.008
30% Bioavailability (F30%):  0.756

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.096
Plasma Protein Binding (PPB):  27.37220001220703%
Volume Distribution (VD):  0.95
Pgp-substrate:  72.0089340209961%

ADMET: Metabolism

CYP1A2-inhibitor:  0.009
CYP1A2-substrate:  0.113
CYP2C19-inhibitor:  0.02
CYP2C19-substrate:  0.21
CYP2C9-inhibitor:  0.012
CYP2C9-substrate:  0.052
CYP2D6-inhibitor:  0.022
CYP2D6-substrate:  0.15
CYP3A4-inhibitor:  0.004
CYP3A4-substrate:  0.058

ADMET: Excretion

Clearance (CL):  2.022
Half-life (T1/2):  0.843

ADMET: Toxicity

hERG Blockers:  0.049
Human Hepatotoxicity (H-HT):  0.112
Drug-inuced Liver Injury (DILI):  0.684
AMES Toxicity:  0.039
Rat Oral Acute Toxicity:  0.745
Maximum Recommended Daily Dose:  0.035
Skin Sensitization:  0.228
Carcinogencity:  0.346
Eye Corrosion:  0.003
Eye Irritation:  0.012
Respiratory Toxicity:  0.764

Download Data

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

  Natural Product: NPC138041

Natural Product ID:  NPC138041
Common Name*:   XKPWNEDMIHIMHY-UTDLPTRGSA-O
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XKPWNEDMIHIMHY-UTDLPTRGSA-O
Standard InCHI:  InChI=1S/C11H17N3O5/c1-3-2-4-8(17)13-10(12)14-11(4)6(15)5(3)19-9(18)7(11)16/h3-8,15-17H,2H2,1H3,(H3,12,13,14)/p+1/t3-,4-,5-,6-,7-,8+,11-/m1/s1
SMILES:  C[C@@H]1C[C@@H]2[C@@H](NC(=[NH2+])N[C@]32[C@@H]([C@@H]1OC(=O)[C@H]3O)O)O
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:0001879] Delta 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
NPO19150 Swertia hookeri Species Gentianaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/0031-9422(80)85027-8]
NPO19685 Streptomyces cyanogenus Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[21188999]
NPO19353 Tadehagi triquetrum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[27100993]
NPO19353 Tadehagi triquetrum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14720 Neopicrorhiza scrophulariiflora Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19353 Tadehagi triquetrum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19353 Tadehagi triquetrum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14720 Neopicrorhiza scrophulariiflora Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14598 Alternaria eichhorniae Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16257 Andromeda japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4175 Eremostachys loasifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17877 Knema austrosiamensis Species Myristicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14720 Neopicrorhiza scrophulariiflora Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19685 Streptomyces cyanogenus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19150 Swertia hookeri Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16383 Androstachys johnsonii Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9186 Cestrum euanthes Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19353 Tadehagi triquetrum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18990 Plagiorhegma dubium Species Berberidaceae 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 NPC138041 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 NPC138041 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