Natural Product: NPC185200

Natural Product IDNPC185200
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KBMIVGVAJKVWBU-DEYYWGMASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 164952
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000211] Indoles and derivatives
        • [CHEMONTID:0001213] Pyridoindoles
          • [CHEMONTID:0001914] Beta carbolines

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 KBMIVGVAJKVWBU-DEYYWGMASA-N
Standard InCHI InChI=1S/C19H26N2O/c1-2-13-12-21-9-7-16-15-5-3-4-6-17(15)20-19(16)18(21)11-14(13)8-10-22/h3-6,13-14,18,20,22H,2,7-12H2,1H3/t13-,14-,18-/m0/s1
SMILES CC[C@H]1CN2CCc3c4ccccc4[nH]c3[C@@H]2C[C@@H]1CCO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   298.2 Volume:   323.192
?
Van der Waals volume.
Dense:   0.923 LogP:   2.518
?
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:   -3.123
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   20.0
TPSA:   39.26
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.91 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.513 Fsp3:   0.579
MCE-18:   69.333
?
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:   0.38 Fluc inhibitor:   0.073
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.673
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.089
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.003 Promiscuous compounds:   0.309

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.99 MDCK Permeability:   -4.983
Pgp-inhibitor:   0.046 Pgp-substrate:   0.969
PAMPA:   0.026
?
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):   0.001
20% Bioavailability (F20%):   0.427 30% Bioavailability (F30%):   0.745
50% Bioavailability (F50%):   0.956

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.833 MRP1:   0.963
Plasma Protein Binding (PPB):   70.493% Volume Distribution (VD):   -0.012
Fu: 22.323%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.279
OATP1B3 inhibitor:   0.312 BCRP inhibitor:   0.914
BSEP inhibitor:   0.979

ADMET: Metabolism

CYP1A2-inhibitor:   0.902 CYP1A2-substrate:   0.006
CYP2C19-inhibitor:   0.031 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.996
CYP2D6-inhibitor:   0.98 CYP2D6-substrate:   0.053
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.831
HLM stability:   0.003
?
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):  11.253 Half-life (T1/2):  1.709

ADMET: Toxicity

hERG Blockers:  0.668 hERG Blockers (10um):  0.62
Human Hepatotoxicity (H-HT):  0.62 Drug-induced Liver Injury (DILI):  0.135
AMES Toxicity:  0.456 Rat Oral Acute Toxicity:  0.689
Maximum Recommended Daily Dose:  0.912 Skin Sensitization:  0.926
Carcinogencity:  0.659 Eye Corrosion:  0.005
Eye Irritation:  0.669 Respiratory Toxicity:  0.988
Drug-induced Neurotoxicity:  0.785 Ototoxicity:  0.368
Hematotoxicity:  0.159 Drug-induced Nephrotoxicity:  0.849
Genotoxicity:  0.305 RPMI-8226 Immunitoxicity:  0.049
A549 Cytotoxicity:  0.496 Hek293 Cytotoxicity:  0.519
BCF:   1.444
?
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:   3.68
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.211
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.528
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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
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[19388660]
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[21524573]
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[28362501]
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15819 Hunteria zeylanica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15819 Hunteria zeylanica Species Apocynaceae 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 NPC185200 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
0.6944 Remote Similarity NPC486452
0.6944 Remote Similarity NPC74591
0.6812 Remote Similarity NPC165441
0.6667 Remote Similarity NPC611453
0.6522 Remote Similarity NPC229173
0.6184 Remote Similarity NPC486449
0.6184 Remote Similarity NPC63199
0.6184 Remote Similarity NPC313985
0.6184 Remote Similarity NPC249150
0.6184 Remote Similarity NPC111602
0.6184 Remote Similarity NPC102338
0.6184 Remote Similarity NPC196251
0.6184 Remote Similarity NPC33619
0.6104 Remote Similarity NPC81654
0.6104 Remote Similarity NPC50503
0.6104 Remote Similarity NPC607669
0.6027 Remote Similarity NPC482948
0.6 Remote Similarity NPC88097
0.5974 Remote Similarity NPC486443
0.5974 Remote Similarity NPC486446
0.5915 Remote Similarity NPC21174
0.589 Remote Similarity NPC474897
0.5775 Remote Similarity NPC317430
0.5696 Remote Similarity NPC175474
0.5696 Remote Similarity NPC99921
0.557 Remote Similarity NPC483467
0.5375 Remote Similarity NPC273374
0.5366 Remote Similarity NPC312870
0.5366 Remote Similarity NPC199851
0.5366 Remote Similarity NPC294909
0.5366 Remote Similarity NPC254240
0.5366 Remote Similarity NPC128265
0.5366 Remote Similarity NPC604675
0.5256 Remote Similarity NPC284645
0.5122 Remote Similarity NPC107782
0.5122 Remote Similarity NPC486454
0.5067 Remote Similarity NPC271797

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC185200 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
0.6184 Remote Similarity NPD4601 Phase 4
0.6104 Remote Similarity NPD4600 Approved
0.5366 Remote Similarity NPD4500 Approved
0.5366 Remote Similarity NPD4501 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