Structure

Physi-Chem Properties

Molecular Weight:  626.15
Volume:  561.108
LogP:  -1.236
LogD:  -0.401
LogS:  -3.795
# Rotatable Bonds:  7
TPSA:  289.66
# H-Bond Aceptor:  17
# H-Bond Donor:  11
# Rings:  5
# Heavy Atoms:  17

MedChem Properties

QED Drug-Likeness Score:  0.124
Synthetic Accessibility Score:  4.775
Fsp3:  0.444
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.455
MDCK Permeability:  5.927355960011482e-05
Pgp-inhibitor:  0.002
Pgp-substrate:  0.971
Human Intestinal Absorption (HIA):  0.834
20% Bioavailability (F20%):  0.012
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.238
Plasma Protein Binding (PPB):  78.62320709228516%
Volume Distribution (VD):  0.65
Pgp-substrate:  24.045347213745117%

ADMET: Metabolism

CYP1A2-inhibitor:  0.024
CYP1A2-substrate:  0.015
CYP2C19-inhibitor:  0.004
CYP2C19-substrate:  0.052
CYP2C9-inhibitor:  0.0
CYP2C9-substrate:  0.156
CYP2D6-inhibitor:  0.006
CYP2D6-substrate:  0.132
CYP3A4-inhibitor:  0.013
CYP3A4-substrate:  0.002

ADMET: Excretion

Clearance (CL):  1.243
Half-life (T1/2):  0.643

ADMET: Toxicity

hERG Blockers:  0.176
Human Hepatotoxicity (H-HT):  0.084
Drug-inuced Liver Injury (DILI):  0.981
AMES Toxicity:  0.739
Rat Oral Acute Toxicity:  0.027
Maximum Recommended Daily Dose:  0.002
Skin Sensitization:  0.031
Carcinogencity:  0.028
Eye Corrosion:  0.003
Eye Irritation:  0.008
Respiratory Toxicity:  0.008

Download Data

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

  Natural Product: NPC108679

Natural Product ID:  NPC108679
Common Name*:   LFFZZUVEDYUSEH-JVQJDRCSSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LFFZZUVEDYUSEH-JVQJDRCSSA-N
Standard InCHI:  InChI=1S/C35H43ClN2O8/c1-6-20(2)30-35(42)44-27(22(4)31-32(45-31)24-11-8-7-9-12-24)13-10-14-29(39)38-26(33(40)37-19-21(3)34(41)46-30)18-23-15-16-28(43-5)25(36)17-23/h7-12,14-17,20-22,26-27,30-32H,6,13,18-19H2,1-5H3,(H,37,40)(H,38,39)/b14-10+/t20-,21+,22-,26+,27-,30-,31+,32+/m0/s1
SMILES:  CC[C@H](C)[C@H]1C(=O)O[C@@H](C/C=C/C(=N[C@H](Cc2ccc(c(c2)Cl)OC)C(=NC[C@@H](C)C(=O)O1)O)O)[C@H](C)[C@@H]1[C@@H](c2ccccc2)O1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10794382
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0001813] Peptidomimetics
        • [CHEMONTID:0002010] Hybrid peptides

*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
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. aerial part n.a. DOI[10.1021/jo00416a020]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[11473413]
NPO4541 Capnella lacertiliensis Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[12608844]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota leaves n.a. n.a. PMID[17243726]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[24476550]
NPO8305 Katsuwonus pelamis Species Scombridae Eukaryota n.a. n.a. Database[FooDB]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12744 Ajuga nipponensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8623 Anneissia japonica Species Comatulidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9705 Meyerozyma guilliermondii Species Debaryomycetaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18618 Neurolaena lobata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3613 Eriobotrya deflexa Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7788 Rana catesbeiana Species Ranidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19541 Smilax moranensis Species Smilacaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4541 Capnella lacertiliensis Species Nephtheidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8305 Katsuwonus pelamis Species Scombridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1537 Vaccinium arctostaphylos Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8426 Tinospora rumphii Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7240 Osteospermum oppositifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10879 Lasius meridionalis Species Formicidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4198 Ungernia vvedenskyi Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12744 Ajuga nipponensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23436 Cladrastis sikokiana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8945 Grevillea robusta Species Proteaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8811 Cytisus prolifer Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1969 Streptomyces pilosus Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19804 Lycopodium saururus Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28833 Eleutherococcus sieboldianus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO834 Peperomia clusiifolia Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5335 0stoc sp Species 0stocaceae Bacteria 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 NPC108679 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 NPC108679 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