Natural Product: NPC8093

Natural Product IDNPC8093
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Psammaplysin A
IUPAC Name (4S,5S)-N-[3-[4-(2-aminoethyl)-2,6-dibromophenoxy]propyl]-7,9-dibromo-4-hydroxy-8-methoxy-1,11-dioxa-2-azaspiro[4.6]undeca-2,7,9-triene-3-carboxamide
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL515023
PubChem CID 44593641
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002279] Benzene and substituted derivatives
        • [CHEMONTID:0000186] Phenethylamines

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey XVHHFAJHWSIGJS-FPOVZHCZSA-N
Standard InCHI InChI=1S/C21H23Br4N3O6/c1-31-17-14(24)9-21(33-10-15(17)25)19(29)16(28-34-21)20(30)27-5-2-6-32-18-12(22)7-11(3-4-26)8-13(18)23/h7-8,10,19,29H,2-6,9,26H2,1H3,(H,27,30)/t19-,21-/m0/s1
SMILES COC1=C(C[C@]2([C@H](C(=NO2)C(=O)NCCCOc2c(cc(CCN)cc2Br)Br)O)OC=C1Br)Br

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   728.83 Volume:   490.514
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Van der Waals volume.
Dense:   1.486 LogP:   2.891
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.599
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.418
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   19.0
TPSA:   124.63
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.329 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.69 Fsp3:   0.429
MCE-18:   92.4
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.994 Fluc inhibitor:   0.062
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.023
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.954
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.153 Promiscuous compounds:   0.073

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.166 MDCK Permeability:   -4.855
Pgp-inhibitor:   0.006 Pgp-substrate:   0.046
PAMPA:   0.072
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.004
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.003
50% Bioavailability (F50%):   0.339

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.042 MRP1:   0.997
Plasma Protein Binding (PPB):   91.562% Volume Distribution (VD):   -0.121
Fu: 9.667%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.989
OATP1B3 inhibitor:   0.965 BCRP inhibitor:   0.008
BSEP inhibitor:   0.979

ADMET: Metabolism

CYP1A2-inhibitor:   0.034 CYP1A2-substrate:   0.859
CYP2C19-inhibitor:   0.044 CYP2C19-substrate:   0.232
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.043
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.055
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.997
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.006
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  1.434 Half-life (T1/2):  2.211

ADMET: Toxicity

hERG Blockers:  0.128 hERG Blockers (10um):  0.643
Human Hepatotoxicity (H-HT):  0.145 Drug-induced Liver Injury (DILI):  0.997
AMES Toxicity:  0.989 Rat Oral Acute Toxicity:  0.979
Maximum Recommended Daily Dose:  0.998 Skin Sensitization:  1.0
Carcinogencity:  0.965 Eye Corrosion:  0.547
Eye Irritation:  0.669 Respiratory Toxicity:  0.922
Drug-induced Neurotoxicity:  0.948 Ototoxicity:  0.302
Hematotoxicity:  0.004 Drug-induced Nephrotoxicity:  0.572
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.268
A549 Cytotoxicity:  0.331 Hek293 Cytotoxicity:  0.951
BCF:   1.829
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   4.451
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.983
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.211
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO32805 Druinella purpurea Species n.a. n.a. n.a. n.a. n.a. PMID[1522422]
NPO32805 Druinella purpurea Species n.a. n.a. n.a. n.a. n.a. PMID[1791478]
NPO733 Pseudoceratina arabica Species Pseudoceratinidae Eukaryota n.a. Red Sea n.a. PMID[18598078]
NPO32805 Druinella purpurea Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO733 Pseudoceratina arabica Species Pseudoceratinidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO733 Pseudoceratina arabica Species Pseudoceratinidae 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 Organism Name 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

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT393 Cell line HCT-116 Homo sapiens IC50 = 6.0 ug.mL-1 PMID[24858544]
NPT165 Cell line HeLa Homo sapiens IC50 = 8500.0 nM PMID[33940466]
NPT82 Cell line MDA-MB-231 Homo sapiens IC50 = 3900.0 nM PMID[33940466]
NPT393 Cell line HCT-116 Homo sapiens IC50 = 8500.0 nM PMID[33940466]
NPT173 Organism Klebsiella pneumoniae Klebsiella pneumoniae IZ = 3.0 mm PMID[19226154]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

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 toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC8093 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC121571
0.869 High Similarity NPC474678
0.869 High Similarity NPC471338
0.8261 Intermediate Similarity NPC123140
0.8261 Intermediate Similarity NPC608943
0.809 Intermediate Similarity NPC475843
0.8085 Intermediate Similarity NPC609030
0.8 Intermediate Similarity NPC471339
0.75 Intermediate Similarity NPC471336
0.75 Intermediate Similarity NPC470746
0.7374 Intermediate Similarity NPC471335
0.7071 Intermediate Similarity NPC471337
0.5876 Remote Similarity NPC77435
0.5876 Remote Similarity NPC259071
0.505 Remote Similarity NPC202866

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC8093 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by 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