Structure

Physi-Chem Properties

Molecular Weight:  398.22
Volume:  413.474
LogP:  4.13
LogD:  3.752
LogS:  -3.784
# Rotatable Bonds:  6
TPSA:  63.79
# H-Bond Aceptor:  6
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.471
Synthetic Accessibility Score:  4.013
Fsp3:  0.522
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.908
MDCK Permeability:  2.0580755517585203e-05
Pgp-inhibitor:  0.956
Pgp-substrate:  0.854
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.005
30% Bioavailability (F30%):  0.012

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.992
Plasma Protein Binding (PPB):  86.442138671875%
Volume Distribution (VD):  1.382
Pgp-substrate:  8.686127662658691%

ADMET: Metabolism

CYP1A2-inhibitor:  0.908
CYP1A2-substrate:  0.965
CYP2C19-inhibitor:  0.864
CYP2C19-substrate:  0.907
CYP2C9-inhibitor:  0.483
CYP2C9-substrate:  0.637
CYP2D6-inhibitor:  0.957
CYP2D6-substrate:  0.896
CYP3A4-inhibitor:  0.922
CYP3A4-substrate:  0.915

ADMET: Excretion

Clearance (CL):  5.387
Half-life (T1/2):  0.485

ADMET: Toxicity

hERG Blockers:  0.963
Human Hepatotoxicity (H-HT):  0.489
Drug-inuced Liver Injury (DILI):  0.575
AMES Toxicity:  0.246
Rat Oral Acute Toxicity:  0.951
Maximum Recommended Daily Dose:  0.986
Skin Sensitization:  0.826
Carcinogencity:  0.936
Eye Corrosion:  0.004
Eye Irritation:  0.023
Respiratory Toxicity:  0.957

Download Data

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

  Natural Product: NPC100898

Natural Product ID:  NPC100898
Common Name*:   LELBFTMXCIIKKX-MYLQJJOTSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LELBFTMXCIIKKX-MYLQJJOTSA-N
Standard InCHI:  InChI=1S/C23H30N2O4/c1-5-14-12-25-10-9-15-21-18(7-6-8-20(21)28-3)24-22(15)19(25)11-16(14)17(13-27-2)23(26)29-4/h6-8,13-14,16,19,24H,5,9-12H2,1-4H3/b17-13+/t14-,16+,19-/m1/s1
SMILES:  CC[C@@H]1CN2CCc3c4c(cccc4OC)[nH]c3[C@H]2C[C@@H]1/C(=COC)/C(=O)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   15560576
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0002750] Corynanthean-type alkaloids

*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
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. whole plant n.a. PMID[15635221]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[17067155]
NPO2677 Paralemnalia clavata Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[18247571]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[23517479]
NPO8554 Cryptocarya lividula Species Lauraceae Eukaryota n.a. leaf n.a. PMID[27032214]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25675 Anthyllis onobrychoides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO317 Corticium simplex Species Plakinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8453 Euphorbia pannonica Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6163 Picris conyzoides Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2677 Paralemnalia clavata Species Nephtheidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8554 Cryptocarya lividula Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1996 Penstemon gentianoides Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4209 Knautia montana Species Caprifoliaceae 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
NPT271 Individual Protein Delta opioid receptor Homo sapiens Inhibition = 0.6 % PMID[571448]
NPT223 Individual Protein Alpha-2b adrenergic receptor Homo sapiens Inhibition = 0.0 % PMID[571448]
NPT222 Individual Protein Alpha-2a adrenergic receptor Homo sapiens Inhibition = 7.0 % PMID[571448]
NPT221 Individual Protein Alpha-1d adrenergic receptor Homo sapiens Inhibition = 6.3 % PMID[571448]
NPT1789 Individual Protein Alpha-1b adrenergic receptor Homo sapiens Inhibition = 25.2 % PMID[571448]
NPT1788 Individual Protein Alpha-1a adrenergic receptor Homo sapiens Inhibition = 16.8 % PMID[571448]
NPT272 Individual Protein Kappa opioid receptor Homo sapiens Inhibition = 61.9 % PMID[571448]
NPT145 Individual Protein Mu opioid receptor Homo sapiens Inhibition = 64.7 % PMID[571448]
NPT5971 Individual Protein Nociceptin receptor Homo sapiens Inhibition = -14.9 % PMID[571448]
NPT1788 Individual Protein Alpha-1a adrenergic receptor Homo sapiens Inhibition = 81.1 % PMID[571448]
NPT1789 Individual Protein Alpha-1b adrenergic receptor Homo sapiens Inhibition = 95.6 % PMID[571448]
NPT221 Individual Protein Alpha-1d adrenergic receptor Homo sapiens Inhibition = 70.5 % PMID[571448]
NPT222 Individual Protein Alpha-2a adrenergic receptor Homo sapiens Inhibition = 73.1 % PMID[571448]
NPT223 Individual Protein Alpha-2b adrenergic receptor Homo sapiens Inhibition = 67.2 % PMID[571448]
NPT271 Individual Protein Delta opioid receptor Homo sapiens Inhibition = 69.2 % PMID[571448]
NPT272 Individual Protein Kappa opioid receptor Homo sapiens Inhibition = 98.5 % PMID[571448]
NPT145 Individual Protein Mu opioid receptor Homo sapiens Inhibition = 98.0 % PMID[571448]
NPT5971 Individual Protein Nociceptin receptor Homo sapiens Inhibition = 31.8 % PMID[571448]
NPT272 Individual Protein Kappa opioid receptor Homo sapiens Ki = 116.0 nM PMID[571448]
NPT145 Individual Protein Mu opioid receptor Homo sapiens Ki = 54.5 nM PMID[571448]
NPT145 Individual Protein Mu opioid receptor Homo sapiens EC50 = 39.2 nM PMID[571448]
NPT27 Others Unspecified ERH = 0.03 n.a. PMID[571448]
NPT27 Others Unspecified CL = 0.5 mL.min-1.kg-1 PMID[571448]
NPT27 Others Unspecified CL = 14.9 mL.min-1.kg-1 PMID[571448]
NPT27 Others Unspecified Fu = 0.276 n.a. PMID[571448]
NPT27 Others Unspecified Fu = 0.01 n.a. PMID[571448]
NPT27 Others Unspecified T1/2 = 0.6967 hr PMID[571448]
NPT27 Others Unspecified Kel = 0.0166 /min PMID[571448]
NPT29 Organism Rattus norvegicus Rattus norvegicus ED50 = 6.25 mg.kg-1 PMID[571448]
NPT29 Organism Rattus norvegicus Rattus norvegicus MPE = 100.0 % PMID[571448]

☑ 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 NPC100898 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 NPC100898 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