Natural Product: NPC191597

Natural Product IDNPC191597
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NUXSIDPKKIEIMI-LURJTMIESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 123800
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
              • [CHEMONTID:0002404] Alpha amino acids
                • [CHEMONTID:0004146] L-alpha-amino acids

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 NUXSIDPKKIEIMI-LURJTMIESA-N
Standard InCHI InChI=1S/C8H16N2O4/c9-6(8(13)14)3-1-2-4-10-5-7(11)12/h6,10H,1-5,9H2,(H,11,12)(H,13,14)/t6-/m0/s1
SMILES C(CCNCC(=O)O)C[C@@H](C(=O)O)N

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   204.11 Volume:   198.806
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Van der Waals volume.
Dense:   1.027 LogP:   -2.101
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.412
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.463
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   2.0
TPSA:   112.65
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   5.0 Rings:   0.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.387 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.562 Fsp3:   0.75
MCE-18:   3.0
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.194 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.073
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.013 Promiscuous compounds:   0.646

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.075 MDCK Permeability:   -4.732
Pgp-inhibitor:   0.0 Pgp-substrate:   0.031
PAMPA:   0.996
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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):   0.356
20% Bioavailability (F20%):   0.023 30% Bioavailability (F30%):   0.182
50% Bioavailability (F50%):   0.124

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.054 MRP1:   0.948
Plasma Protein Binding (PPB):   11.905% Volume Distribution (VD):   -0.351
Fu: 92.84%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.292
OATP1B3 inhibitor:   0.822 BCRP inhibitor:   0.0
BSEP inhibitor:   0.008

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.006 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.234 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.01
?
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):  3.242 Half-life (T1/2):  1.208

ADMET: Toxicity

hERG Blockers:  0.075 hERG Blockers (10um):  0.188
Human Hepatotoxicity (H-HT):  0.526 Drug-induced Liver Injury (DILI):  0.125
AMES Toxicity:  0.573 Rat Oral Acute Toxicity:  0.54
Maximum Recommended Daily Dose:  0.063 Skin Sensitization:  0.982
Carcinogencity:  0.126 Eye Corrosion:  0.839
Eye Irritation:  0.833 Respiratory Toxicity:  0.874
Drug-induced Neurotoxicity:  0.606 Ototoxicity:  0.125
Hematotoxicity:  0.173 Drug-induced Nephrotoxicity:  0.968
Genotoxicity:  0.215 RPMI-8226 Immunitoxicity:  0.118
A549 Cytotoxicity:  0.012 Hek293 Cytotoxicity:  0.037
BCF:   0.077
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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:   2.753
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.959
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.322
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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
NPO18987 Lupinus polyphyllus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1598 Leucojum vernum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1598 Leucojum vernum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1598 Leucojum vernum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2950 Artemisia saissanica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26474 Uvaria hookeri Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1598 Leucojum vernum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3985 Baccharis leptocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18987 Lupinus polyphyllus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4056 Streptomyces roseoviridis Species Streptomycetaceae Bacteria 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

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 NPC191597 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
0.6452 Remote Similarity NPC324825
0.6452 Remote Similarity NPC112890
0.6452 Remote Similarity NPC316231
0.5667 Remote Similarity NPC601942
0.5455 Remote Similarity NPC276928
0.5455 Remote Similarity NPC64250
0.5455 Remote Similarity NPC268927
0.5312 Remote Similarity NPC167986
0.5312 Remote Similarity NPC140872
0.5312 Remote Similarity NPC93081
0.5312 Remote Similarity NPC291186

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC191597 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
0.6452 Remote Similarity NPD9044 Phase 4
0.5312 Remote Similarity NPD8804 Phase 4
0.5312 Remote Similarity NPD8805 Approved
0.5312 Remote Similarity NPD8809 Phase 3
0.5312 Remote Similarity NPD9016 Phase 1

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