Structure

Physi-Chem Properties

Molecular Weight:  602.36
Volume:  657.955
LogP:  8.615
LogD:  5.561
LogS:  -4.17
# Rotatable Bonds:  8
TPSA:  100.9
# H-Bond Aceptor:  6
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.102
Synthetic Accessibility Score:  6.122
Fsp3:  0.553
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  2
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.023
MDCK Permeability:  1.2797279850929044e-05
Pgp-inhibitor:  0.138
Pgp-substrate:  0.188
Human Intestinal Absorption (HIA):  0.144
20% Bioavailability (F20%):  0.995
30% Bioavailability (F30%):  0.971

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.013
Plasma Protein Binding (PPB):  100.4446792602539%
Volume Distribution (VD):  1.122
Pgp-substrate:  7.809916973114014%

ADMET: Metabolism

CYP1A2-inhibitor:  0.088
CYP1A2-substrate:  0.143
CYP2C19-inhibitor:  0.837
CYP2C19-substrate:  0.173
CYP2C9-inhibitor:  0.913
CYP2C9-substrate:  0.911
CYP2D6-inhibitor:  0.91
CYP2D6-substrate:  0.031
CYP3A4-inhibitor:  0.834
CYP3A4-substrate:  0.781

ADMET: Excretion

Clearance (CL):  15.188
Half-life (T1/2):  0.059

ADMET: Toxicity

hERG Blockers:  0.013
Human Hepatotoxicity (H-HT):  0.973
Drug-inuced Liver Injury (DILI):  0.943
AMES Toxicity:  0.023
Rat Oral Acute Toxicity:  0.607
Maximum Recommended Daily Dose:  0.825
Skin Sensitization:  0.167
Carcinogencity:  0.304
Eye Corrosion:  0.003
Eye Irritation:  0.057
Respiratory Toxicity:  0.94

Download Data

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

  Natural Product: NPC110855

Natural Product ID:  NPC110855
Common Name*:   KXTNVBQRLRYVCO-OGHRFRAUSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KXTNVBQRLRYVCO-OGHRFRAUSA-N
Standard InCHI:  InChI=1S/C38H50O6/c1-22(2)11-14-26-20-37-21-27(15-12-23(3)4)36(9,10)44-33(37)30(31(41)25-13-16-28(39)29(40)19-25)32(42)38(34(37)43,35(26,7)8)18-17-24(5)6/h11-13,16-17,19,26-27,39-40H,14-15,18,20-21H2,1-10H3/t26-,27-,37-,38-/m1/s1
SMILES:  CC(=CC[C@@H]1C[C@@]23C[C@@H](CC=C(C)C)C(C)(C)OC2=C(C(=O)c2ccc(c(c2)O)O)C(=O)[C@](CC=C(C)C)(C3=O)C1(C)C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   21125413
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids
          • [CHEMONTID:0000051] Aromatic monoterpenoids

*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
NPO5638 Garcinia livingstonei Species Clusiaceae Eukaryota n.a. fruit n.a. DOI[10.1016/S0040-4020(01)89039-6]
NPO5638 Garcinia livingstonei Species Clusiaceae Eukaryota root bark n.a. n.a. PMID[16562837]
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota n.a. seed n.a. PMID[21028890]
NPO5638 Garcinia livingstonei Species Clusiaceae Eukaryota n.a. fruit n.a. PMID[21028890]
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota n.a. exocarp n.a. PMID[21028890]
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota seeds and rinds n.a. n.a. PMID[21028890]
NPO40852 Garcinia picrorhiza Species Clusiaceae Eukaryota Stem Bark n.a. n.a. PMID[32627543]
NPO3858 Pimpinella magna Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4768 Lunaria annua Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3858 Pimpinella magna Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10493 Casearia thwaitesii Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1970 Rubus palmatus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6556 Garcinia intermedia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5638 Garcinia livingstonei Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO104 Hymenodictyon floribundum Species Rubiaceae 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
NPT113 Cell Line RAW264.7 Mus musculus Inhibition = 92.94 % PMID[31255927]
NPT139 Cell Line HT-29 Homo sapiens IC50 > 10000.0 nM PMID[32627543]
NPT91 Cell Line KB Homo sapiens IC50 = 5300.0 nM PMID[32627543]
NPT83 Cell Line MCF7 Homo sapiens IC50 = 7200.0 nM PMID[32627543]
NPT65 Cell Line HepG2 Homo sapiens IC50 > 10000.0 nM PMID[32627543]
NPT20987 CELL-LINE HeLa S3 Homo sapiens IC50 > 10000.0 nM PMID[32627543]

☑ 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 NPC110855 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 NPC110855 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