Structure

Physi-Chem Properties

Molecular Weight:  425.2
Volume:  422.796
LogP:  1.015
LogD:  -0.078
LogS:  -2.136
# Rotatable Bonds:  3
TPSA:  119.44
# H-Bond Aceptor:  9
# H-Bond Donor:  1
# Rings:  2
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.507
Synthetic Accessibility Score:  6.038
Fsp3:  0.714
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:  -4.929
MDCK Permeability:  8.278853056253865e-05
Pgp-inhibitor:  0.962
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.422
20% Bioavailability (F20%):  0.046
30% Bioavailability (F30%):  0.957

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.371
Plasma Protein Binding (PPB):  23.813400268554688%
Volume Distribution (VD):  1.006
Pgp-substrate:  72.30552673339844%

ADMET: Metabolism

CYP1A2-inhibitor:  0.016
CYP1A2-substrate:  0.079
CYP2C19-inhibitor:  0.026
CYP2C19-substrate:  0.438
CYP2C9-inhibitor:  0.008
CYP2C9-substrate:  0.078
CYP2D6-inhibitor:  0.005
CYP2D6-substrate:  0.155
CYP3A4-inhibitor:  0.263
CYP3A4-substrate:  0.438

ADMET: Excretion

Clearance (CL):  2.868
Half-life (T1/2):  0.882

ADMET: Toxicity

hERG Blockers:  0.077
Human Hepatotoxicity (H-HT):  0.943
Drug-inuced Liver Injury (DILI):  0.828
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.382
Maximum Recommended Daily Dose:  0.12
Skin Sensitization:  0.128
Carcinogencity:  0.075
Eye Corrosion:  0.005
Eye Irritation:  0.022
Respiratory Toxicity:  0.066

Download Data

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

  Natural Product: NPC79523

Natural Product ID:  NPC79523
Common Name*:   BRHFNKAWPNHEJL-IFNHDBSHSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  BRHFNKAWPNHEJL-IFNHDBSHSA-N
Standard InCHI:  InChI=1S/C21H31NO8/c1-6-15-18(29-13(3)23)12(2)21(4,27)20(26)28-11-14-7-9-22(5)10-8-16(17(14)24)30-19(15)25/h7,12,15-16,18,27H,6,8-11H2,1-5H3/b14-7-/t12-,15+,16-,18-,21-/m1/s1
SMILES:  CC[C@H]1[C@@H]([C@@H](C)[C@](C)(C(=O)OCC2=CCN(C)CC[C@H](C2=O)OC1=O)O)OC(=O)C
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:0001986] Tricarboxylic 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
NPO15949 Cystophora moniliformis Species Sargassaceae Eukaryota n.a. southern Australian n.a. PMID[18687007]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[20553004]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota latex Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan Province, China 2011-Mar PMID[24033101]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota trunk bark Yunnan, China n.a. PMID[24582402]
NPO5133 Annona spinescens Species Annonaceae Eukaryota n.a. n.a. n.a. PMID[8699188]
NPO5133 Annona spinescens Species Annonaceae Eukaryota seeds n.a. n.a. PMID[9461649]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11092 Asclepias eriocarpa Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16502 Lepidium virginicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16502 Lepidium virginicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5133 Annona spinescens Species Annonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4259 Spiraea thunbergii Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11092 Asclepias eriocarpa Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11092 Asclepias eriocarpa Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5956 Polygonatum falcatum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO11092 Asclepias eriocarpa Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9629 Actinoplanes missouriensis Species Micromonosporaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO3257 Andryala ragusina Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4259 Spiraea thunbergii Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5956 Polygonatum falcatum Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5133 Annona spinescens Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15745 Gentiana asclepiadea Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14353 Actinopyga mauritiana Species Holothuriidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16502 Lepidium virginicum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15841 Clitoria macrophylla Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3548 Rheedia benthamiana Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12941 Malus toringoides Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2297 Parthenium integrifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15949 Cystophora moniliformis Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4404 Euodia merrillii Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12112 Jurinea suffruticosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7369 Antennaria canadensis Species Carabidae 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 NPC79523 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 NPC79523 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