Structure

Physi-Chem Properties

Molecular Weight:  592.38
Volume:  623.352
LogP:  6.285
LogD:  4.65
LogS:  -5.163
# Rotatable Bonds:  3
TPSA:  59.05
# H-Bond Aceptor:  6
# H-Bond Donor:  2
# Rings:  10
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.417
Synthetic Accessibility Score:  6.137
Fsp3:  0.658
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.434
MDCK Permeability:  1.0362027751398273e-05
Pgp-inhibitor:  0.114
Pgp-substrate:  0.918
Human Intestinal Absorption (HIA):  0.055
20% Bioavailability (F20%):  0.861
30% Bioavailability (F30%):  1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.165
Plasma Protein Binding (PPB):  89.53111267089844%
Volume Distribution (VD):  1.594
Pgp-substrate:  4.8808465003967285%

ADMET: Metabolism

CYP1A2-inhibitor:  0.011
CYP1A2-substrate:  0.626
CYP2C19-inhibitor:  0.066
CYP2C19-substrate:  0.921
CYP2C9-inhibitor:  0.214
CYP2C9-substrate:  0.089
CYP2D6-inhibitor:  0.883
CYP2D6-substrate:  0.862
CYP3A4-inhibitor:  0.946
CYP3A4-substrate:  0.93

ADMET: Excretion

Clearance (CL):  6.416
Half-life (T1/2):  0.273

ADMET: Toxicity

hERG Blockers:  0.858
Human Hepatotoxicity (H-HT):  0.921
Drug-inuced Liver Injury (DILI):  0.051
AMES Toxicity:  0.062
Rat Oral Acute Toxicity:  0.153
Maximum Recommended Daily Dose:  0.982
Skin Sensitization:  0.286
Carcinogencity:  0.043
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.728

Download Data

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

  Natural Product: NPC483806

Natural Product ID:  NPC483806
Common Name*:   RLIFGPPAKUTYSB-NCSMMJCPSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RLIFGPPAKUTYSB-NCSMMJCPSA-N
Standard InCHI:  InChI=1S/C30H34O4/c1-17(2)11-13-19-26(32)22(21(31)14-12-18-9-7-6-8-10-18)28-23(27(19)33)25-24-20(29(25,3)4)15-16-30(24,5)34-28/h6-12,14,20,24-25,32-33H,13,15-16H2,1-5H3/b14-12+/t20-,24+,25+,30+/m1/s1
SMILES:  CC(=CCc1c(c(C(=O)/C=C/c2ccccc2)c2c([C@H]3[C@@H]4[C@@H](CC[C@]4(C)O2)C3(C)C)c1O)O)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]

*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
NPO25967 Mallotus philippensis Species Euphorbiaceae Eukaryota n.a. fruit n.a. PMID[12499591]
NPO25967 Mallotus philippensis Species Euphorbiaceae Eukaryota n.a. fruit n.a. PMID[15516755]
NPO25967 Mallotus philippensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[31318550]
NPO25967 Mallotus philippensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25967 Mallotus philippensis Species Euphorbiaceae 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
NPT878 Organism Streptococcus mutans Streptococcus mutans MIC > 100000.0 nM PMID[31318550]
NPT729 Organism Micrococcus luteus Micrococcus luteus MIC > 100000.0 nM PMID[31318550]
NPT17 Organism Staphylococcus epidermidis Staphylococcus epidermidis MIC > 100000.0 nM PMID[31318550]
NPT314 Organism Bacillus cereus Bacillus cereus MIC > 100000.0 nM PMID[31318550]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 100000.0 nM PMID[31318550]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC > 100000.0 nM PMID[31318550]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC > 100000.0 nM PMID[31318550]
NPT19 Organism Escherichia coli Escherichia coli MIC > 100000.0 nM PMID[31318550]
NPT2909 Organism Shigella flexneri Shigella flexneri MIC > 100000.0 nM PMID[31318550]

☑ 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 NPC483806 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 NPC483806 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