Natural Product: NPC540868

Natural Product IDNPC540868
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TANAKINE
IUPAC Name 1-(1~{H}-indol-3-yl)-3-methyl-butane-2,3-diol
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 JPRWHAIHJJJQTF-UHFFFAOYSA-N
Standard InCHI InChI=1S/C13H17NO2/c1-13(2,16)12(15)7-9-8-14-11-6-4-3-5-10(9)11/h3-6,8,12,14-16H,7H2,1-2H3
SMILES CC(C)(O)C(O)CC1=CNC2=CC=CC=C12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   219.13 Volume:   234.323
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Van der Waals volume.
Dense:   0.935 LogP:   2.01
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.091
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.706
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   10.0
TPSA:   56.25
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   2.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.737 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.632 Fsp3:   0.385
MCE-18:   26.0
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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:   0.071 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:   0.046
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.017
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.152 Promiscuous compounds:   0.234

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.581 MDCK Permeability:   -4.519
Pgp-inhibitor:   0.001 Pgp-substrate:   0.465
PAMPA:   0.587
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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):   0.003
20% Bioavailability (F20%):   0.015 30% Bioavailability (F30%):   0.142
50% Bioavailability (F50%):   0.861

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.888 MRP1:   0.584
Plasma Protein Binding (PPB):   69.213% Volume Distribution (VD):   -0.067
Fu: 31.184%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.802
OATP1B3 inhibitor:   0.963 BCRP inhibitor:   0.496
BSEP inhibitor:   0.188

ADMET: Metabolism

CYP1A2-inhibitor:   0.012 CYP1A2-substrate:   0.38
CYP2C19-inhibitor:   0.009 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.313 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.899 CYP2D6-substrate:   0.34
CYP3A4-inhibitor:   0.07 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.965
HLM stability:   0.444
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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):  10.48 Half-life (T1/2):  1.435

ADMET: Toxicity

hERG Blockers:  0.109 hERG Blockers (10um):  0.566
Human Hepatotoxicity (H-HT):  0.485 Drug-induced Liver Injury (DILI):  0.058
AMES Toxicity:  0.524 Rat Oral Acute Toxicity:  0.212
Maximum Recommended Daily Dose:  0.548 Skin Sensitization:  0.319
Carcinogencity:  0.496 Eye Corrosion:  0.007
Eye Irritation:  0.803 Respiratory Toxicity:  0.547
Drug-induced Neurotoxicity:  0.435 Ototoxicity:  0.663
Hematotoxicity:  0.155 Drug-induced Nephrotoxicity:  0.27
Genotoxicity:  0.335 RPMI-8226 Immunitoxicity:  0.032
A549 Cytotoxicity:  0.049 Hek293 Cytotoxicity:  0.143
BCF:   0.312
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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:   2.824
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.28
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.338
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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
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. leaf n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. twig n.a. PMID[24354205]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[34964904]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[36529712]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2715 Murraya paniculata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2715 Murraya paniculata Species Rutaceae 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 NPC540868 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
0.6809 Remote Similarity NPC480551
0.6667 Remote Similarity NPC230869
0.65 Remote Similarity NPC601214
0.64 Remote Similarity NPC480550
0.6136 Remote Similarity NPC29886
0.6047 Remote Similarity NPC96102
0.5909 Remote Similarity NPC279081
0.5882 Remote Similarity NPC469358
0.5714 Remote Similarity NPC315555
0.5652 Remote Similarity NPC84911
0.5581 Remote Similarity NPC102423
0.5532 Remote Similarity NPC73767
0.5417 Remote Similarity NPC310665
0.5417 Remote Similarity NPC605863
0.5345 Remote Similarity NPC603162
0.5294 Remote Similarity NPC190296
0.5283 Remote Similarity NPC200214
0.5263 Remote Similarity NPC606619
0.5263 Remote Similarity NPC610347
0.5227 Remote Similarity NPC53947
0.52 Remote Similarity NPC267343
0.52 Remote Similarity NPC78020
0.5192 Remote Similarity NPC480318
0.5106 Remote Similarity NPC72435
0.5098 Remote Similarity NPC55772
0.5098 Remote Similarity NPC59269
0.5098 Remote Similarity NPC600736
0.5094 Remote Similarity NPC609424
0.5085 Remote Similarity NPC611171

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC540868 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
0.6047 Remote Similarity NPD198 Clinical (unspecified phase)
0.5745 Remote Similarity NPD786 Pre-clinical
0.5283 Remote Similarity NPD1722 Phase 4
0.5192 Remote Similarity NPD749 Clinical (unspecified phase)

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