Natural Product: NPC283999

Natural Product IDNPC283999
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
 QCGHEAJFTHQMHI-SCTDSRPQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465625
PubChem CID 16091679
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0001782] Erythrina alkaloids
        • [CHEMONTID:0002780] Erythrinanes

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 QCGHEAJFTHQMHI-SCTDSRPQSA-N
Standard InCHI InChI=1S/C19H22N2O4/c1-23-15-6-11-2-4-21-5-3-12-7-16-17(25-10-24-16)9-19(12,21)14(11)8-13(15)18(20)22/h6-8,16-17H,2-5,9-10H2,1H3,(H2,20,22)/t16-,17+,19-/m0/s1
SMILES COc1cc2CCN3[C@@]4(c2cc1C(=N)O)C[C@H]1OCO[C@H]1C=C4CC3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   342.16 Volume:   338.37
?
Van der Waals volume.
Dense:   1.011 LogP:   0.883
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.487
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
 LogS:   -2.591
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   25.0
TPSA:   75.01
?
Topological Polar Surface Area.
 H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.489 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.962 Fsp3:   0.526
MCE-18:   124.759
?
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:   0.393 Fluc inhibitor:   0.015
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.611
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
 Green fluorescence:   0.511
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.004 Promiscuous compounds:   0.145

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.69 MDCK Permeability:   -5.159
Pgp-inhibitor:   0.002 Pgp-substrate:   0.998
PAMPA:   0.727
?
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):   0.018
20% Bioavailability (F20%):   0.522 30% Bioavailability (F30%):   0.459
50% Bioavailability (F50%):   0.675

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.884
Plasma Protein Binding (PPB):   62.737% Volume Distribution (VD):   0.311
Fu: 35.816%
?
The fraction unbound in plasms.
 OATP1B1 inhibitor:   0.358
OATP1B3 inhibitor:   0.293 BCRP inhibitor:   0.008
BSEP inhibitor:   0.242

ADMET: Metabolism

CYP1A2-inhibitor:   0.724 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.205 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.955 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.865 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
HLM stability:   0.008
?
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):  8.898 Half-life (T1/2):  1.662

ADMET: Toxicity

hERG Blockers:  0.398 hERG Blockers (10um):  0.381
Human Hepatotoxicity (H-HT):  0.989 Drug-induced Liver Injury (DILI):  0.81
AMES Toxicity:  0.629 Rat Oral Acute Toxicity:  0.968
Maximum Recommended Daily Dose:  0.956 Skin Sensitization:  0.961
Carcinogencity:  0.797 Eye Corrosion:  0.0
Eye Irritation:  0.086 Respiratory Toxicity:  0.988
Drug-induced Neurotoxicity:  0.954 Ototoxicity:  0.649
Hematotoxicity:  0.458 Drug-induced Nephrotoxicity:  0.885
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.094
A549 Cytotoxicity:  0.247 Hek293 Cytotoxicity:  0.363
BCF:   0.399
?
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:   3.081
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.486
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
 LC50FM:   3.7
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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
NPO19806 Vismia guineensis Species Hypericaceae Eukaryota Roots Mali 1995-JUL PMID[10650071]
NPO16672 Cucurbita foetidissima Species Cucurbitaceae Eukaryota Roots n.a. n.a. PMID[10650092]
NPO19604 Hyperbaena valida Species Menispermaceae Eukaryota n.a. n.a. n.a. PMID[17067175]
NPO19806 Vismia guineensis Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18965 Actinopyga flammea Species Holothuriidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16672 Cucurbita foetidissima Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13733 Saccharopolyspora erythraea Species Pseudonocardiaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO19604 Hyperbaena valida Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19481 Gynotroches axillaris Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16893 Lecidea fuscoatra Species Lecideaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18965 Actinopyga flammea Species Holothuriidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19806 Vismia guineensis Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16672 Cucurbita foetidissima Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4119 Oxyanthus pallidus Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18659 Prunus japonica Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13733 Saccharopolyspora erythraea Species Pseudonocardiaceae 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
NPT417 Protein complex Neuronal acetylcholine receptor; alpha3/beta4 Rattus norvegicus IC50 = 94000.0 nM PMID[17067175]

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 NPC283999 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
0.7432 Intermediate Similarity NPC166979

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC283999 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