Natural Product: NPC573707

Natural Product IDNPC573707
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 L-Tryptophan, N-(2-carboxyacetyl)-
IUPAC Name (2~{S})-2-[(2-carboxyacetyl)amino]-3-(1~{H}-indol-3-yl)propanoic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 OVEAWSPZRGBTSS-NSHDSACASA-N
Standard InCHI InChI=1S/C14H14N2O5/c17-12(6-13(18)19)16-11(14(20)21)5-8-7-15-10-4-2-1-3-9(8)10/h1-4,7,11,15H,5-6H2,(H,16,17)(H,18,19)(H,20,21)/t11-/m0/s1
SMILES O=C(O)CC(=O)N[C@@H](CC1=CNC2=CC=CC=C12)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   290.09 Volume:   281.077
?
Van der Waals volume.
Dense:   1.032 LogP:   0.708
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.006
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.107
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   13.0
TPSA:   119.49
?
Topological Polar Surface Area.
 H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   2.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.585 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.488 Fsp3:   0.214
MCE-18:   26.0
?
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:   0.027 Fluc inhibitor:   0.047
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.169
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.198
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.006 Promiscuous compounds:   0.548

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.279 MDCK Permeability:   -4.875
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.999
?
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):   0.003
20% Bioavailability (F20%):   0.843 30% Bioavailability (F30%):   0.764
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.347
Plasma Protein Binding (PPB):   69.867% Volume Distribution (VD):   -0.759
Fu: 27.839%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.171

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.999 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
HLM stability:   0.104
?
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):  1.461 Half-life (T1/2):  1.428

ADMET: Toxicity

hERG Blockers:  0.006 hERG Blockers (10um):  0.004
Human Hepatotoxicity (H-HT):  0.246 Drug-induced Liver Injury (DILI):  0.579
AMES Toxicity:  0.192 Rat Oral Acute Toxicity:  0.307
Maximum Recommended Daily Dose:  0.129 Skin Sensitization:  0.892
Carcinogencity:  0.087 Eye Corrosion:  0.039
Eye Irritation:  0.793 Respiratory Toxicity:  0.187
Drug-induced Neurotoxicity:  0.143 Ototoxicity:  0.604
Hematotoxicity:  0.156 Drug-induced Nephrotoxicity:  0.846
Genotoxicity:  0.922 RPMI-8226 Immunitoxicity:  0.023
A549 Cytotoxicity:  0.001 Hek293 Cytotoxicity:  0.008
BCF:   0.0
?
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:   2.737
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.971
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.309
?
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
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. DOI[10.1042/BA20020118]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1104/pp.84.1.73]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. DOI[10.1556/abot.45.2003.3-4.15]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[12232319]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[15019787]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[22208890]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[23517479]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[37685099]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO60813 Lycopersicon esculentum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO57206 Lupinus angustifolius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO49390 Magnolia sp. Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27857 Gleditschia triacanthos n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO20168 Melilotus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Latex Exudate n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO20168 Melilotus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20168 Melilotus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27857 Gleditschia triacanthos n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO20168 Melilotus albus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9498 Papaver somniferum Species Papaveraceae 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

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 NPC573707 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
0.7414 Intermediate Similarity NPC602969
0.7049 Intermediate Similarity NPC606272
0.6721 Remote Similarity NPC605102
0.6207 Remote Similarity NPC480317
0.6182 Remote Similarity NPC78020
0.5965 Remote Similarity NPC605329
0.5932 Remote Similarity NPC480316
0.5789 Remote Similarity NPC55772
0.5593 Remote Similarity NPC480318
0.5517 Remote Similarity NPC315555
0.5424 Remote Similarity NPC149155
0.5424 Remote Similarity NPC203468
0.5424 Remote Similarity NPC110500
0.5323 Remote Similarity NPC267885
0.5246 Remote Similarity NPC248041
0.5238 Remote Similarity NPC602670

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC573707 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
0.5593 Remote Similarity NPD749 Clinical (unspecified phase)
0.5424 Remote Similarity NPD482 Phase 4

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