Structure

Physi-Chem Properties

Molecular Weight:  369.06
Volume:  340.667
LogP:  5.91
LogD:  4.861
LogS:  -6.169
# Rotatable Bonds:  6
TPSA:  12.36
# H-Bond Aceptor:  1
# H-Bond Donor:  0
# Rings:  1
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.293
Synthetic Accessibility Score:  5.06
Fsp3:  0.688
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.745
MDCK Permeability:  1.9116328985546716e-05
Pgp-inhibitor:  0.013
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.002
20% Bioavailability (F20%):  0.007
30% Bioavailability (F30%):  0.001

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.461
Plasma Protein Binding (PPB):  92.29043579101562%
Volume Distribution (VD):  2.081
Pgp-substrate:  2.3443222045898438%

ADMET: Metabolism

CYP1A2-inhibitor:  0.247
CYP1A2-substrate:  0.627
CYP2C19-inhibitor:  0.388
CYP2C19-substrate:  0.859
CYP2C9-inhibitor:  0.415
CYP2C9-substrate:  0.8
CYP2D6-inhibitor:  0.055
CYP2D6-substrate:  0.901
CYP3A4-inhibitor:  0.339
CYP3A4-substrate:  0.516

ADMET: Excretion

Clearance (CL):  5.102
Half-life (T1/2):  0.041

ADMET: Toxicity

hERG Blockers:  0.006
Human Hepatotoxicity (H-HT):  0.212
Drug-inuced Liver Injury (DILI):  0.268
AMES Toxicity:  0.091
Rat Oral Acute Toxicity:  0.09
Maximum Recommended Daily Dose:  0.902
Skin Sensitization:  0.047
Carcinogencity:  0.379
Eye Corrosion:  0.876
Eye Irritation:  0.727
Respiratory Toxicity:  0.968

Download Data

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

  Natural Product: NPC474596

Natural Product ID:  NPC474596
Common Name*:   2-Chloro-5-((1R,3S)-3-Chloro-2,2-Dimethyl-6-Methylenecyclohexyl)-3-Methylenepentylcarbonimidic Dichloride
IUPAC Name:   1,1-dichloro-N-[2-chloro-5-[(1R,3S)-3-chloro-2,2-dimethyl-6-methylidenecyclohexyl]-3-methylidenepentyl]methanimine
Synonyms:  
Standard InCHIKey:  FLQWJRAWXIZXCK-YIOYIWSBSA-N
Standard InCHI:  InChI=1S/C16H23Cl4N/c1-10-6-8-14(18)16(3,4)12(10)7-5-11(2)13(17)9-21-15(19)20/h12-14H,1-2,5-9H2,3-4H3/t12-,13?,14+/m1/s1
SMILES:  C=C(C(CN=C(Cl)Cl)Cl)CC[C@@H]1C(=C)CC[C@@H](C1(C)C)Cl
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL476493
PubChem CID:   10044705
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids

*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
NPO12253 Stylotella aurantium n.a. n.a. n.a. n.a. n.a. n.a. PMID[11170682]
NPO12253 Stylotella aurantium n.a. n.a. n.a. 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
NPT168 Cell Line P388 Mus musculus IC50 = 0.1 ug.mL-1 PMID[507638]
NPT81 Cell Line A549 Homo sapiens IC50 = 0.1 ug.mL-1 PMID[507638]
NPT139 Cell Line HT-29 Homo sapiens IC50 = 0.1 ug.mL-1 PMID[507638]
NPT170 Cell Line SK-MEL-28 Homo sapiens IC50 = 0.1 ug.mL-1 PMID[507638]

☑ 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 NPC474596 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
0.8438 Intermediate Similarity NPC475812
0.6377 Remote Similarity NPC28755
0.6377 Remote Similarity NPC152211
0.6301 Remote Similarity NPC37792
0.6286 Remote Similarity NPC311809
0.625 Remote Similarity NPC476682
0.6197 Remote Similarity NPC219621
0.6 Remote Similarity NPC476681
0.5972 Remote Similarity NPC110214
0.5914 Remote Similarity NPC125771
0.5914 Remote Similarity NPC218902
0.5867 Remote Similarity NPC474456
0.5833 Remote Similarity NPC78551
0.5833 Remote Similarity NPC62086
0.5833 Remote Similarity NPC227632
0.5775 Remote Similarity NPC472830
0.5738 Remote Similarity NPC103290
0.5735 Remote Similarity NPC474416
0.5714 Remote Similarity NPC318036
0.5676 Remote Similarity NPC145715
0.5645 Remote Similarity NPC105246
0.5645 Remote Similarity NPC190232
0.5645 Remote Similarity NPC193180
0.5641 Remote Similarity NPC138409
0.5641 Remote Similarity NPC184919
0.5634 Remote Similarity NPC173815
0.56 Remote Similarity NPC473959

  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 NPC474596 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
0.5645 Remote Similarity NPD1799 Clinical (unspecified phase)

  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