Structure

Physi-Chem Properties

Molecular Weight:  542.96
Volume:  443.832
LogP:  4.311
LogD:  3.058
LogS:  -4.638
# Rotatable Bonds:  12
TPSA:  62.3
# H-Bond Aceptor:  5
# H-Bond Donor:  1
# Rings:  1
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.411
Synthetic Accessibility Score:  4.378
Fsp3:  0.706
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -5.643
MDCK Permeability:  0.00016341893933713436
Pgp-inhibitor:  0.011
Pgp-substrate:  0.032
Human Intestinal Absorption (HIA):  0.011
20% Bioavailability (F20%):  0.002
30% Bioavailability (F30%):  0.001

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.99
Plasma Protein Binding (PPB):  94.39866638183594%
Volume Distribution (VD):  1.088
Pgp-substrate:  2.191876173019409%

ADMET: Metabolism

CYP1A2-inhibitor:  0.038
CYP1A2-substrate:  0.537
CYP2C19-inhibitor:  0.837
CYP2C19-substrate:  0.904
CYP2C9-inhibitor:  0.146
CYP2C9-substrate:  0.084
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.293
CYP3A4-inhibitor:  0.944
CYP3A4-substrate:  0.941

ADMET: Excretion

Clearance (CL):  4.259
Half-life (T1/2):  0.114

ADMET: Toxicity

hERG Blockers:  0.017
Human Hepatotoxicity (H-HT):  0.849
Drug-inuced Liver Injury (DILI):  0.189
AMES Toxicity:  0.169
Rat Oral Acute Toxicity:  0.03
Maximum Recommended Daily Dose:  0.833
Skin Sensitization:  0.074
Carcinogencity:  0.118
Eye Corrosion:  0.003
Eye Irritation:  0.01
Respiratory Toxicity:  0.971

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

  Natural Product: NPC137705

Natural Product ID:  NPC137705
Common Name*:   Dysidenin
IUPAC Name:   (2S,4S)-5,5,5-trichloro-4-methyl-2-[methyl-[(3S)-4,4,4-trichloro-3-methylbutanoyl]amino]-N-[(1S)-1-(1,3-thiazol-2-yl)ethyl]pentanamide
Synonyms:   Dysidenin
Standard InCHIKey:  BFVRAKVNXYQMID-BJDJZHNGSA-N
Standard InCHI:  InChI=1S/C17H23Cl6N3O2S/c1-9(16(18,19)20)7-12(14(28)25-11(3)15-24-5-6-29-15)26(4)13(27)8-10(2)17(21,22)23/h5-6,9-12H,7-8H2,1-4H3,(H,25,28)/t9-,10-,11-,12-/m0/s1
SMILES:  OC(=N[C@H](c1nccs1)C)[C@@H](N(C(=O)C[C@@H](C(Cl)(Cl)Cl)C)C)C[C@@H](C(Cl)(Cl)Cl)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL391079
PubChem CID:   10007601
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000347] Amino acids and derivatives
            • [CHEMONTID:0000060] Alpha amino 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
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[10075800]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[10650102]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. Mandapam Coast, Tamilnadu, India n.a. PMID[22704923]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. PMID[9463111]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16323 Umbilicaria proboscidea Species Umbilicariaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13746 Achillea leptophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13321 Viguiera cordifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1793 Uvaria mocoli Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17210 Dorstenia barnimiana Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9044 Rubia ustulata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13985 Oxybasis urbica Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16204 Zieria chevalieri Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17991 Sedum forsterianum Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7857 Verbascum georgicum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16323 Umbilicaria proboscidea Species Umbilicariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16684 Alibertia macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17673 Dysidea herbacea Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4863 Dioscorea futschauensis Species Dioscoreaceae 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
NPT1119 Individual Protein Arachidonate 12-lipoxygenase Homo sapiens Ki = 9000.0 nM PMID[508045]
NPT792 Individual Protein Arachidonate 15-lipoxygenase Homo sapiens Ki = 8000.0 nM PMID[508045]
NPT2 Others Unspecified Ratio Ki = 1.0 n.a. PMID[508045]

☑ 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 NPC137705 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
0.9487 High Similarity NPC145047
0.9487 High Similarity NPC86490
0.7462 Intermediate Similarity NPC278902
0.7388 Intermediate Similarity NPC275393
0.6966 Remote Similarity NPC478251
0.6966 Remote Similarity NPC478252
0.6831 Remote Similarity NPC478254
0.6831 Remote Similarity NPC478253
0.6667 Remote Similarity NPC261708
0.6575 Remote Similarity NPC103268
0.6562 Remote Similarity NPC475920
0.6424 Remote Similarity NPC475390
0.614 Remote Similarity NPC161143
0.5889 Remote Similarity NPC239660
0.5889 Remote Similarity NPC106235
0.5887 Remote Similarity NPC214375
0.5808 Remote Similarity NPC475554
0.5804 Remote Similarity NPC135558
0.5793 Remote Similarity NPC267605
0.5743 Remote Similarity NPC89592
0.5706 Remote Similarity NPC164006
0.5685 Remote Similarity NPC51692

  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 NPC137705 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
0.5889 Remote Similarity NPD8339 Clinical (unspecified phase)
0.5833 Remote Similarity NPD222 Approved
0.5685 Remote Similarity NPD2225 Clinical (unspecified phase)
0.5625 Remote Similarity NPD221 Approved

  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