Structure

Physi-Chem Properties

Molecular Weight:  500.96
Volume:  369.88
LogP:  1.331
LogD:  0.872
LogS:  -2.888
# Rotatable Bonds:  6
TPSA:  135.58
# H-Bond Aceptor:  9
# H-Bond Donor:  5
# Rings:  3
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.415
Synthetic Accessibility Score:  5.291
Fsp3:  0.312
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:  -5.512
MDCK Permeability:  1.5154530046856962e-05
Pgp-inhibitor:  0.997
Pgp-substrate:  0.007
Human Intestinal Absorption (HIA):  0.952
20% Bioavailability (F20%):  0.994
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.923
Plasma Protein Binding (PPB):  90.25591278076172%
Volume Distribution (VD):  0.99
Pgp-substrate:  23.549192428588867%

ADMET: Metabolism

CYP1A2-inhibitor:  0.067
CYP1A2-substrate:  0.881
CYP2C19-inhibitor:  0.435
CYP2C19-substrate:  0.047
CYP2C9-inhibitor:  0.057
CYP2C9-substrate:  0.02
CYP2D6-inhibitor:  0.015
CYP2D6-substrate:  0.13
CYP3A4-inhibitor:  0.573
CYP3A4-substrate:  0.164

ADMET: Excretion

Clearance (CL):  1.132
Half-life (T1/2):  0.775

ADMET: Toxicity

hERG Blockers:  0.626
Human Hepatotoxicity (H-HT):  0.997
Drug-inuced Liver Injury (DILI):  0.854
AMES Toxicity:  0.896
Rat Oral Acute Toxicity:  0.909
Maximum Recommended Daily Dose:  0.835
Skin Sensitization:  0.951
Carcinogencity:  0.883
Eye Corrosion:  0.003
Eye Irritation:  0.013
Respiratory Toxicity:  0.974

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

  Natural Product: NPC81079

Natural Product ID:  NPC81079
Common Name*:   Aplysinamisine I
IUPAC Name:   (5S,6R)-N-[(Z)-3-(2-amino-1H-imidazol-5-yl)prop-2-enyl]-7,9-dibromo-6-hydroxy-8-methoxy-1-oxa-2-azaspiro[4.5]deca-2,7,9-triene-3-carboxamide
Synonyms:   Aplysinamisine I
Standard InCHIKey:  RPBHRSIJJYCYKG-PDUXPGBHSA-N
Standard InCHI:  InChI=1S/C16H17Br2N5O4/c1-26-12-9(17)5-16(13(24)11(12)18)6-10(23-27-16)14(25)20-4-2-3-8-7-21-15(19)22-8/h2-3,5,7,13,24H,4,6H2,1H3,(H,20,25)(H3,19,21,22)/b3-2-/t13-,16+/m0/s1
SMILES:  COC1=C(Br)[C@@H]([C@]2(C=C1Br)ON=C(C2)C(=O)NC/C=Cc1c[nH]c(=N)[nH]1)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL517447
PubChem CID:   23427561
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000436] Azoles
        • [CHEMONTID:0000078] Imidazoles
          • [CHEMONTID:0002310] Substituted imidazoles
            • [CHEMONTID:0001225] Aminoimidazoles

*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
NPO11745 Subergorgia suberosa Species Subergorgiidae Eukaryota n.a. Taiwanese gorgonian coral n.a. PMID[12088433]
NPO11745 Subergorgia suberosa Species Subergorgiidae Eukaryota n.a. Taiwanese Gorgonian coral n.a. PMID[12141868]
NPO11745 Subergorgia suberosa Species Subergorgiidae Eukaryota n.a. n.a. n.a. PMID[16124781]
NPO11745 Subergorgia suberosa Species Subergorgiidae Eukaryota n.a. n.a. n.a. PMID[18290631]
NPO211 Aplysina cauliformis Species Aplysinidae Eukaryota n.a. n.a. n.a. PMID[8350091]
NPO11870 Rhododendron arboreum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11870 Rhododendron arboreum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO211 Aplysina cauliformis Species Aplysinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11745 Subergorgia suberosa Species Subergorgiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11870 Rhododendron arboreum Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12594 Hybanthus enneaspermus Species Violaceae 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
NPT83 Cell Line MCF7 Homo sapiens IC50 > 50.0 ug.mL-1 PMID[468538]
NPT404 Cell Line CCRF-CEM Homo sapiens IC50 > 50.0 ug.mL-1 PMID[468538]
NPT393 Cell Line HCT-116 Homo sapiens IC50 = 10.0 ug.mL-1 PMID[468538]

☑ 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 NPC81079 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
0.9844 High Similarity NPC181086
0.969 High Similarity NPC304257
0.9141 High Similarity NPC260270
0.9062 High Similarity NPC145149
0.8561 High Similarity NPC1702
0.8561 High Similarity NPC158672
0.837 Intermediate Similarity NPC477220
0.8258 Intermediate Similarity NPC66855
0.8156 Intermediate Similarity NPC289324
0.8134 Intermediate Similarity NPC313173
0.7847 Intermediate Similarity NPC473262
0.7847 Intermediate Similarity NPC473261
0.7847 Intermediate Similarity NPC300912
0.7847 Intermediate Similarity NPC202166
0.7793 Intermediate Similarity NPC470886
0.7533 Intermediate Similarity NPC130714
0.7448 Intermediate Similarity NPC473683
0.7222 Intermediate Similarity NPC172626
0.7222 Intermediate Similarity NPC470892
0.7029 Intermediate Similarity NPC201900
0.6617 Remote Similarity NPC45830
0.6617 Remote Similarity NPC243106
0.6129 Remote Similarity NPC202866
0.6011 Remote Similarity NPC77435
0.6011 Remote Similarity NPC259071
0.5978 Remote Similarity NPC174607
0.5946 Remote Similarity NPC147847
0.582 Remote Similarity NPC227953
0.58 Remote Similarity NPC471261
0.5753 Remote Similarity NPC147238
0.575 Remote Similarity NPC477400
0.5742 Remote Similarity NPC473249
0.5742 Remote Similarity NPC475610
0.5704 Remote Similarity NPC474828
0.5704 Remote Similarity NPC474827
0.5704 Remote Similarity NPC199831
0.5704 Remote Similarity NPC68001
0.5697 Remote Similarity NPC142761
0.5687 Remote Similarity NPC471256
0.5657 Remote Similarity NPC114806
0.5621 Remote Similarity NPC245534
0.5616 Remote Similarity NPC133729
0.5613 Remote Similarity NPC36254
0.561 Remote Similarity NPC315848
0.561 Remote Similarity NPC315210
0.5608 Remote Similarity NPC314550
0.56 Remote Similarity NPC24617

  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 NPC81079 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
0.5894 Remote Similarity NPD7623 Phase 3
0.5894 Remote Similarity NPD7624 Clinical (unspecified phase)
0.5742 Remote Similarity NPD7746 Phase 1
0.5742 Remote Similarity NPD7747 Phase 1
0.5724 Remote Similarity NPD7739 Clinical (unspecified phase)
0.5658 Remote Similarity NPD7299 Clinical (unspecified phase)
0.5652 Remote Similarity NPD8065 Phase 2

  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