Natural Product: NPC523632

Natural Product IDNPC523632
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
methyl (2~{S},12~{b}~{S})-2-[1-(hydroxymethyl)prop-1-enyl]-1,2,6,7,12,12~{b}-hexahydroindolo[2,3-a]quinolizine-3-carboxylate
IUPAC Name methyl (2~{S},12~{b}~{S})-2-[1-(hydroxymethyl)prop-1-enyl]-1,2,6,7,12,12~{b}-hexahydroindolo[2,3-a]quinolizine-3-carboxylate
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 FRUFGLJBMBUARK-LPHOPBHVSA-N
Standard InCHI InChI=1S/C21H24N2O3/c1-3-13(12-24)16-10-19-20-15(14-6-4-5-7-18(14)22-20)8-9-23(19)11-17(16)21(25)26-2/h3-7,11,16,19,22,24H,8-10,12H2,1-2H3/t16-,19-/m0/s1
SMILES CC=C(CO)[C@@H]1C[C@H]2C3=C(CCN2C=C1C(=O)OC)C1=CC=CC=C1N3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   352.18 Volume:   367.455
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Van der Waals volume.
Dense:   0.958 LogP:   2.383
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.46
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.46
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   22.0
TPSA:   65.56
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.658 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.903 Fsp3:   0.381
MCE-18:   73.586
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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:   0.28 Fluc inhibitor:   0.615
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.793
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.513
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.002 Promiscuous compounds:   0.393

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.138 MDCK Permeability:   -4.746
Pgp-inhibitor:   0.016 Pgp-substrate:   0.603
PAMPA:   0.765
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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):   0.0
20% Bioavailability (F20%):   0.034 30% Bioavailability (F30%):   0.178
50% Bioavailability (F50%):   0.927

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.69 MRP1:   0.997
Plasma Protein Binding (PPB):   92.474% Volume Distribution (VD):   0.326
Fu: 6.956%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.829
OATP1B3 inhibitor:   0.984 BCRP inhibitor:   0.867
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.472 CYP1A2-substrate:   0.209
CYP2C19-inhibitor:   0.913 CYP2C19-substrate:   0.3
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.076
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.328
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.655
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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):  8.453 Half-life (T1/2):  0.646

ADMET: Toxicity

hERG Blockers:  0.346 hERG Blockers (10um):  0.438
Human Hepatotoxicity (H-HT):  0.879 Drug-induced Liver Injury (DILI):  0.911
AMES Toxicity:  0.591 Rat Oral Acute Toxicity:  0.846
Maximum Recommended Daily Dose:  0.968 Skin Sensitization:  0.894
Carcinogencity:  0.753 Eye Corrosion:  0.0
Eye Irritation:  0.104 Respiratory Toxicity:  0.952
Drug-induced Neurotoxicity:  0.834 Ototoxicity:  0.95
Hematotoxicity:  0.416 Drug-induced Nephrotoxicity:  0.975
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.113
A549 Cytotoxicity:  0.153 Hek293 Cytotoxicity:  0.316
BCF:   0.751
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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:   3.542
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.2
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.477
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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
NPO3893 Chimarrhis turbinata Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[15568781]
NPO3893 Chimarrhis turbinata Species Rubiaceae Eukaryota leaves n.a. n.a. PMID[21341711]
NPO3893 Chimarrhis turbinata Species Rubiaceae Eukaryota n.a. leaf n.a. PMID[21341711]
NPO3893 Chimarrhis turbinata Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3893 Chimarrhis turbinata Species Rubiaceae 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 NPC523632 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
0.8571 High Similarity NPC220151
0.8571 High Similarity NPC19692
0.642 Remote Similarity NPC107782
0.642 Remote Similarity NPC486454
0.622 Remote Similarity NPC175474
0.622 Remote Similarity NPC99921
0.5783 Remote Similarity NPC486452
0.5783 Remote Similarity NPC74591
0.5714 Remote Similarity NPC486449
0.5714 Remote Similarity NPC63199
0.5714 Remote Similarity NPC111602
0.5714 Remote Similarity NPC102338
0.5714 Remote Similarity NPC486443
0.5714 Remote Similarity NPC486446
0.5714 Remote Similarity NPC196251
0.5714 Remote Similarity NPC273374
0.5641 Remote Similarity NPC21174
0.5625 Remote Similarity NPC165441
0.5517 Remote Similarity NPC312870
0.5517 Remote Similarity NPC199851
0.5517 Remote Similarity NPC294909
0.5517 Remote Similarity NPC254240
0.5517 Remote Similarity NPC128265
0.5517 Remote Similarity NPC604675
0.5402 Remote Similarity NPC52557
0.5402 Remote Similarity NPC217463
0.5349 Remote Similarity NPC313985
0.5349 Remote Similarity NPC249150
0.5349 Remote Similarity NPC33619
0.5287 Remote Similarity NPC81654
0.5185 Remote Similarity NPC185200
0.5172 Remote Similarity NPC483467
0.5114 Remote Similarity NPC187106
0.51 Remote Similarity NPC52254
0.51 Remote Similarity NPC611036
0.5098 Remote Similarity NPC486444
0.5098 Remote Similarity NPC649
0.5062 Remote Similarity NPC271797
0.506 Remote Similarity NPC474897
0.5049 Remote Similarity NPC199607
0.5049 Remote Similarity NPC54591

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC523632 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
0.5517 Remote Similarity NPD4500 Approved
0.5517 Remote Similarity NPD4501 Approved
0.5349 Remote Similarity NPD4601 Phase 4
0.5287 Remote Similarity NPD4600 Approved

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