Structure

Physi-Chem Properties

Molecular Weight:  516.38
Volume:  563.844
LogP:  4.626
LogD:  4.039
LogS:  -4.898
# Rotatable Bonds:  7
TPSA:  83.83
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.408
Synthetic Accessibility Score:  5.222
Fsp3:  0.875
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
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:  -4.777
MDCK Permeability:  2.643603875185363e-05
Pgp-inhibitor:  1.0
Pgp-substrate:  0.685
Human Intestinal Absorption (HIA):  0.002
20% Bioavailability (F20%):  0.888
30% Bioavailability (F30%):  0.939

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.259
Plasma Protein Binding (PPB):  85.97063446044922%
Volume Distribution (VD):  0.809
Pgp-substrate:  5.228884696960449%

ADMET: Metabolism

CYP1A2-inhibitor:  0.012
CYP1A2-substrate:  0.15
CYP2C19-inhibitor:  0.023
CYP2C19-substrate:  0.731
CYP2C9-inhibitor:  0.129
CYP2C9-substrate:  0.026
CYP2D6-inhibitor:  0.006
CYP2D6-substrate:  0.036
CYP3A4-inhibitor:  0.781
CYP3A4-substrate:  0.622

ADMET: Excretion

Clearance (CL):  6.513
Half-life (T1/2):  0.166

ADMET: Toxicity

hERG Blockers:  0.584
Human Hepatotoxicity (H-HT):  0.53
Drug-inuced Liver Injury (DILI):  0.099
AMES Toxicity:  0.019
Rat Oral Acute Toxicity:  0.914
Maximum Recommended Daily Dose:  0.969
Skin Sensitization:  0.929
Carcinogencity:  0.501
Eye Corrosion:  0.029
Eye Irritation:  0.032
Respiratory Toxicity:  0.972

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

  Natural Product: NPC160117

Natural Product ID:  NPC160117
Common Name*:   JSILRCIAUYHSMM-UHNHAYRVSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JSILRCIAUYHSMM-UHNHAYRVSA-N
Standard InCHI:  InChI=1S/C22H32O7/c1-13-15-6-9-20(3,28-19(13)26)16(24)7-10-22(5)18(27-14(2)23)8-11-21(4,29-22)17(25)12-15/h15,17-18,25H,1,6-12H2,2-5H3/t15-,17+,18+,20-,21-,22+/m1/s1
SMILES:  C=C1[C@@H]2CC[C@](C)(C(=O)CC[C@@]3(C)[C@H](CC[C@](C)([C@H](C2)O)O3)OC(=O)C)OC1=O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000147] Macrolides and analogues

*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
NPO3286 Erythrina americana Species Fabaceae Eukaryota Flowers Tantempango, Hidalgo, Mexico 2019-May DOI[10.1007/s11130-020-00822-2]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. seed n.a. DOI[10.1016/0031-9422(96)00258-0]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. fruit n.a. DOI[10.1016/S1383-5769(99)00023-9]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[10086989]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[1512598]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[15165151]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota fruit Indonesia n.a. PMID[17896817]
NPO7475 Sinularia querciformis Species Alcyoniidae Eukaryota n.a. n.a. n.a. PMID[18831569]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. Vietnam n.a. PMID[19026551]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota seeds n.a. n.a. PMID[20050684]
NPO10949 Riccardia multifida Species Aneuraceae Eukaryota n.a. n.a. n.a. PMID[21625478]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota Seeds n.a. n.a. PMID[22506620]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[6481366]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. PMID[7561896]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3286 Erythrina americana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3286 Erythrina americana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3286 Erythrina americana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10200 Pourouma cecropiifolia Species Urticaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6712 Artocarpus scortechinii Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2735 Orthodon hirtus Species Cyprinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO232 Cayaponia racemosa Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14948 Brucea javanica Species Simaroubaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5448 Wattakaka volubilis Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3048 Laportea moroides Species Urticaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7475 Sinularia querciformis Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3286 Erythrina americana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11440 Dictyota menstrualis Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9011 Anaptychia neoleucomelaena Species Physciaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7724 Heterobasidion annosum Species Bondarzewiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4491 Aplophyllum cappadocicum n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO10949 Riccardia multifida Species Aneuraceae 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 NPC160117 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 NPC160117 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