Natural Product: NPC194390

Natural Product IDNPC194390
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3S,6S,9S,12S)-3-Benzyl-6-((2S,3R)-3-Hydroxybutan-2-Yl)-9,12-Diisopropyl-1,4,7,10-Tetraazacyclododecane-2,5,8,11-Tetraone
IUPAC Name (3S,6S,9S,12S)-3-benzyl-6-[(2S,3R)-3-hydroxybutan-2-yl]-9,12-di(propan-2-yl)-1,4,7,10-tetrazacyclododecane-2,5,8,11-tetrone
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL474038
PubChem CID 44572035
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 CXMBFUMTPNXCMT-HDHGSYJOSA-N
Standard InCHI InChI=1S/C25H38N4O5/c1-13(2)19-23(32)28-20(14(3)4)24(33)29-21(15(5)16(6)30)25(34)26-18(22(31)27-19)12-17-10-8-7-9-11-17/h7-11,13-16,18-21,30H,12H2,1-6H3,(H,26,34)(H,27,31)(H,28,32)(H,29,33)/t15-,16-,18+,19+,20+,21+/m1/s1
SMILES C[C@H]([C@H]([C@@H]1N=C(O)[C@@H](N=C(O)[C@@H](N=C([C@@H](N=C1O)Cc1ccccc1)O)C(C)C)C(C)C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.28 Volume:   493.326
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Van der Waals volume.
Dense:   0.961 LogP:   0.83
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.717
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.781
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   18.0
TPSA:   150.59
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   5.0 Rings:   2.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.424 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.438 Fsp3:   0.6
MCE-18:   60.8
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.575 Fluc inhibitor:   0.031
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.118
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.699
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.025 Promiscuous compounds:   0.379

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.743 MDCK Permeability:   -5.148
Pgp-inhibitor:   0.996 Pgp-substrate:   0.996
PAMPA:   0.492
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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):   0.847
20% Bioavailability (F20%):   0.95 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.19
Plasma Protein Binding (PPB):   70.868% Volume Distribution (VD):   -0.507
Fu: 27.121%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.007
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.01 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.03 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.244 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:   0.179
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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):  3.905 Half-life (T1/2):  1.682

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  1.0 Drug-induced Liver Injury (DILI):  1.0
AMES Toxicity:  0.016 Rat Oral Acute Toxicity:  0.566
Maximum Recommended Daily Dose:  0.039 Skin Sensitization:  1.0
Carcinogencity:  0.115 Eye Corrosion:  0.0
Eye Irritation:  0.111 Respiratory Toxicity:  0.758
Drug-induced Neurotoxicity:  0.073 Ototoxicity:  0.994
Hematotoxicity:  0.396 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  0.0 Hek293 Cytotoxicity:  0.0
BCF:   0.33
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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:   3.132
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.708
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.657
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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
NPO33240 nonomuraea sp. ta-0426 Species Streptosporangiaceae Bacteria n.a. n.a. n.a. PMID[19013063]

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
NPT6505 Individual protein Galanin receptor 2 Rattus norvegicus IC50 = 542.0 nM PMID[25397992]
NPT6623 Individual protein Galanin receptor 1 Rattus norvegicus IC50 = 11.1 nM PMID[23795891]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1125 Cell line T98G Homo sapiens IC50 = 4.0 nM PMID[24960143]

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 NPC194390 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
0.8864 High Similarity NPC224610
0.8864 High Similarity NPC113326
0.8409 Intermediate Similarity NPC88267
0.8205 Intermediate Similarity NPC303045
0.6818 Remote Similarity NPC25565
0.6818 Remote Similarity NPC475439
0.6667 Remote Similarity NPC311242
0.6279 Remote Similarity NPC621
0.6087 Remote Similarity NPC161972
0.5962 Remote Similarity NPC100825
0.587 Remote Similarity NPC82963
0.5593 Remote Similarity NPC483337
0.5424 Remote Similarity NPC487595
0.5345 Remote Similarity NPC487313
0.5263 Remote Similarity NPC254088
0.5263 Remote Similarity NPC486124
0.5246 Remote Similarity NPC237420
0.5172 Remote Similarity NPC479753
0.5072 Remote Similarity NPC287401

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC194390 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