Natural Product: NPC476227

Natural Product IDNPC476227
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Micropeptin 88 N
IUPAC Name (2R,3S)-2-[3-[[(2S,5S,8S,11R,12S,15S,18S,21R)-5-benzyl-8-[(2S)-butan-2-yl]-21-hydroxy-15-[(4-hydroxyphenyl)methyl]-4,11-dimethyl-3,6,9,13,16,22-hexaoxo-2-propan-2-yl-10-oxa-1,4,7,14,17-pentazabicyclo[16.3.1]docosan-12-yl]amino]-3-oxopropyl]-3-(butanoylamino)-5-methylhexanoic acid
Synonyms Micropeptin 88 N
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL556534
PubChem CID 45269584
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0001813] Peptidomimetics
        • [CHEMONTID:0001961] Depsipeptides
          • [CHEMONTID:0001994] Cyclic depsipeptides

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 NAWKUZLOHRHOJE-UYNUVXRESA-N
Standard InCHI InChI=1S/C53H77N7O13/c1-10-15-41(62)54-38(26-29(3)4)36(52(70)71)22-24-42(63)57-45-32(8)73-53(72)44(31(7)11-2)58-48(66)40(28-33-16-13-12-14-17-33)59(9)51(69)46(30(5)6)60-43(64)25-23-37(50(60)68)55-47(65)39(56-49(45)67)27-34-18-20-35(61)21-19-34/h12-14,16-21,29-32,36-40,43-46,61,64H,10-11,15,22-28H2,1-9H3,(H,54,62)(H,55,65)(H,56,67)(H,57,63)(H,58,66)(H,70,71)/t31-,32+,36+,37-,38-,39-,40-,43+,44-,45-,46-/m0/s1
SMILES CCCC(=N[C@H]([C@H](C(=O)O)CCC(=N[C@@H]1C(=N[C@@H](Cc2ccc(cc2)O)C(=N[C@H]2CC[C@H](N(C2=O)[C@H](C(=O)N([C@H](C(=N[C@H](C(=O)O[C@@H]1C)[C@H](CC)C)O)Cc1ccccc1)C)C(C)C)O)O)O)O)CC(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1019.56 Volume:   1042.721
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Van der Waals volume.
Dense:   0.978 LogP:   3.423
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.641
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.469
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The logarithm of aqueous solubility value.
Rotatable Bonds:   18.0 Rigid Bonds:   41.0
TPSA:   307.63
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Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.043 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.626 Fsp3:   0.604
MCE-18:   126.176
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.77 Fluc inhibitor:   0.003
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.046
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.737
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.005 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.37 MDCK Permeability:   -5.041
Pgp-inhibitor:   0.139 Pgp-substrate:   0.991
PAMPA:   0.998
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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):   0.426
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:   0.675
Plasma Protein Binding (PPB):   81.226% Volume Distribution (VD):   -0.581
Fu: 17.286%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.006 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:   0.157
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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):  0.453 Half-life (T1/2):  2.616

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:  0.164 Rat Oral Acute Toxicity:  0.129
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  1.0
Carcinogencity:  0.232 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.964 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.001
BCF:   0.333
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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:   3.322
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.158
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.065
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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
NPO33392 cyanobacterium microcystis aeruginosa nies-88 Species Cyanobacteriaceae Bacteria n.a. n.a. n.a. PMID[15679310]

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
NPT2 Others Unspecified n.a. IC50 = 15000.0 nM DOI[10.1016/j.indcrop.2012.05.026]
NPT2 Others Unspecified n.a. IC50 > 100000.0 nM DOI[10.1016/j.indcrop.2012.05.026]

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 NPC476227 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
0.7807 Intermediate Similarity NPC230611
0.686 Remote Similarity NPC40234
0.6721 Remote Similarity NPC159767
0.6667 Remote Similarity NPC155506
0.6423 Remote Similarity NPC107938
0.6393 Remote Similarity NPC45037
0.6371 Remote Similarity NPC294516
0.6107 Remote Similarity NPC240130
0.608 Remote Similarity NPC471526
0.5739 Remote Similarity NPC163392
0.5714 Remote Similarity NPC279871
0.5682 Remote Similarity NPC61332
0.5659 Remote Similarity NPC473407
0.5645 Remote Similarity NPC273755
0.5625 Remote Similarity NPC194671
0.561 Remote Similarity NPC306804
0.5591 Remote Similarity NPC489102
0.5556 Remote Similarity NPC50016
0.5546 Remote Similarity NPC239762
0.5469 Remote Similarity NPC5719
0.5455 Remote Similarity NPC60516
0.542 Remote Similarity NPC269750
0.5414 Remote Similarity NPC46009
0.5308 Remote Similarity NPC22883
0.5255 Remote Similarity NPC473404
0.5238 Remote Similarity NPC62104
0.5231 Remote Similarity NPC137627
0.5227 Remote Similarity NPC63040
0.5224 Remote Similarity NPC302715
0.5182 Remote Similarity NPC471592
0.5038 Remote Similarity NPC471053
0.5038 Remote Similarity NPC471051

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476227 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