Natural Product: NPC223791

Natural Product IDNPC223791
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Phakellistatin 15
IUPAC Name n.a.
Synonyms phakellistatin 15
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1099230
PubChem CID 46209786
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:0000348] Peptides
            • [CHEMONTID:0004831] Oligopeptides

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 WOEWBNNGDMOZJK-YMMDSMMCSA-N
Standard InCHI InChI=1S/C48H71N9O9/c1-8-28(6)39-47(65)56-20-12-17-37(56)44(62)50-33(22-26(2)3)41(59)54-40(29(7)58)48(66)57-21-13-18-38(57)45(63)52-35(23-27(4)5)46(64)55-19-11-16-36(55)43(61)51-34(42(60)53-39)24-30-25-49-32-15-10-9-14-31(30)32/h9-10,14-15,25-29,33-40,49,58H,8,11-13,16-24H2,1-7H3,(H,50,62)(H,51,61)(H,52,63)(H,53,60)(H,54,59)/t28-,29+,33-,34-,35-,36-,37-,38-,39-,40-/m0/s1
SMILES CC[C@H](C)[C@H]1C(=O)N2CCC[C@H]2C(=N[C@@H](CC(C)C)C(=N[C@@H]([C@@H](C)O)C(=O)N2CCC[C@H]2C(=N[C@@H](CC(C)C)C(=O)N2CCC[C@H]2C(=N[C@@H](Cc2c[nH]c3ccccc23)C(=N1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   917.54 Volume:   933.87
?
Van der Waals volume.
Dense:   0.983 LogP:   1.598
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.247
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.223
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   49.0
TPSA:   259.9
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   7.0 Rings:   6.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.159 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.585 Fsp3:   0.667
MCE-18:   150.7
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.621 Fluc inhibitor:   0.114
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.074
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.763
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.001 Promiscuous compounds:   0.33

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.628 MDCK Permeability:   -5.266
Pgp-inhibitor:   1.0 Pgp-substrate:   1.0
PAMPA:   0.012
?
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):   0.992
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.89
Plasma Protein Binding (PPB):   70.944% Volume Distribution (VD):   -0.199
Fu: 27.788%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.982 BCRP inhibitor:   0.186
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.753 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.001
?
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):  0.959 Half-life (T1/2):  2.349

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.0
Human Hepatotoxicity (H-HT):  1.0 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.017 Rat Oral Acute Toxicity:  0.359
Maximum Recommended Daily Dose:  0.005 Skin Sensitization:  1.0
Carcinogencity:  0.96 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.418
Drug-induced Neurotoxicity:  0.009 Ototoxicity:  1.0
Hematotoxicity:  0.835 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.442
?
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:   3.488
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.188
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.356
?
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
NPO14341 Phakellia fusca Species Axinellidae Eukaryota n.a. n.a. n.a. PMID[20345147]
NPO14341 Phakellia fusca Species Axinellidae Eukaryota n.a. n.a. n.a. PMID[30844272]
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[37765360]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. PMID[7241154]
NPO9435 Acacia georginae Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28868 Pardachirus pavoninus Species Soleidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21698 Crinum augustum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12664 Haplanthus tentaculatus n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO6751 Clusia grandiflora Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO757 Dorycnium graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14341 Phakellia fusca Species Axinellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11799 Ursinia saxatilis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16836 Polyporus picipes Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16589 Clitocybe conglobata Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14341 Phakellia fusca Species Axinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15034 Intsia bijuga Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17695 Calyptranthes tricona Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17477 Potentilla indica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17016 Cassinia aculeata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14751 Anisodoris nobilis Species Discodorididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21698 Crinum augustum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6751 Clusia grandiflora Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11799 Ursinia saxatilis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28868 Pardachirus pavoninus Species Soleidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17233 Picrodendron baccatum Species Picrodendraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO757 Dorycnium graecum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11480 Haematomma puniceum Species Haematommataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13365 Helminthosporium euchlaenae Species Massarinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13830 Alcaligenes faecalis Species Alcaligenaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO16589 Clitocybe conglobata Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17935 Pedicularis lasiophrys Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12664 Haplanthus tentaculatus n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO16723 Gascardia madagascariensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO17160 Dimerostemma lippioides Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16836 Polyporus picipes Species Polyporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9435 Acacia georginae Species Fabaceae 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
NPT168 Cell line P388 Mus musculus IC50 = 8500.0 nM PMID[20345147]

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 NPC223791 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
0.9412 High Similarity NPC107077
0.7204 Intermediate Similarity NPC489625
0.6765 Remote Similarity NPC479071
0.6635 Remote Similarity NPC155143
0.6602 Remote Similarity NPC110602
0.6569 Remote Similarity NPC31385
0.6355 Remote Similarity NPC479065
0.6321 Remote Similarity NPC479075
0.6316 Remote Similarity NPC483985
0.6286 Remote Similarity NPC54420
0.6238 Remote Similarity NPC293917
0.6182 Remote Similarity NPC479066
0.6168 Remote Similarity NPC162860
0.6147 Remote Similarity NPC479073
0.6126 Remote Similarity NPC75726
0.6105 Remote Similarity NPC489556
0.6091 Remote Similarity NPC479076
0.5922 Remote Similarity NPC171317
0.5882 Remote Similarity NPC479574
0.5842 Remote Similarity NPC213629
0.5818 Remote Similarity NPC482001
0.573 Remote Similarity NPC17059
0.569 Remote Similarity NPC100321
0.5583 Remote Similarity NPC69843
0.5581 Remote Similarity NPC49954
0.5566 Remote Similarity NPC483341
0.5556 Remote Similarity NPC487314
0.5537 Remote Similarity NPC325976
0.5537 Remote Similarity NPC326363
0.5243 Remote Similarity NPC136797
0.5192 Remote Similarity NPC261934
0.512 Remote Similarity NPC489555
0.5094 Remote Similarity NPC487596
0.5049 Remote Similarity NPC5194

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC223791 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
0.6238 Remote Similarity NPD7621 Clinical (unspecified phase)
0.5242 Remote Similarity NPD8493 Clinical (unspecified phase)
0.5214 Remote Similarity NPD7711 Discontinued

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