Natural Product: NPC151843

Natural Product IDNPC151843
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DUTRRAKUNDUIQG-XFBJGIQASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003569] Pregnane steroids
          • [CHEMONTID:0001468] Gluco/mineralocorticoids, progestogins and derivatives

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 DUTRRAKUNDUIQG-XFBJGIQASA-N
Standard InCHI InChI=1S/C22H37NO/c1-14(23-4)18-7-8-19-17-6-5-15-13-16(24)9-11-21(15,2)20(17)10-12-22(18,19)3/h5,14,16-20,23-24H,6-13H2,1-4H3/t14-,16-,17+,18+,19+,20+,21-,22+/m0/s1
SMILES C[C@@H]([C@H]1CC[C@@H]2[C@H]3CC=C4C[C@H](CC[C@]4(C)[C@@H]3CC[C@]12C)O)NC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   331.29 Volume:   371.993
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Van der Waals volume.
Dense:   0.891 LogP:   3.878
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.532
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.053
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   20.0
TPSA:   32.26
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.728 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.308 Fsp3:   0.909
MCE-18:   67.857
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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:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.826 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.029 Promiscuous compounds:   0.045

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.241 MDCK Permeability:   -4.993
Pgp-inhibitor:   0.001 Pgp-substrate:   0.586
PAMPA:   0.229
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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%):   0.006 30% Bioavailability (F30%):   0.239
50% Bioavailability (F50%):   0.967

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.349 MRP1:   0.51
Plasma Protein Binding (PPB):   52.582% Volume Distribution (VD):   0.169
Fu: 51.644%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.982
OATP1B3 inhibitor:   0.245 BCRP inhibitor:   0.021
BSEP inhibitor:   0.011

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.091 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.247
CYP2D6-inhibitor:   0.969 CYP2D6-substrate:   0.048
CYP3A4-inhibitor:   0.01 CYP3A4-substrate:   0.807
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.002
?
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):  17.495 Half-life (T1/2):  1.428

ADMET: Toxicity

hERG Blockers:  0.255 hERG Blockers (10um):  0.481
Human Hepatotoxicity (H-HT):  0.741 Drug-induced Liver Injury (DILI):  0.011
AMES Toxicity:  0.039 Rat Oral Acute Toxicity:  0.254
Maximum Recommended Daily Dose:  0.837 Skin Sensitization:  0.85
Carcinogencity:  0.231 Eye Corrosion:  0.038
Eye Irritation:  0.235 Respiratory Toxicity:  0.797
Drug-induced Neurotoxicity:  0.173 Ototoxicity:  0.843
Hematotoxicity:  0.271 Drug-induced Nephrotoxicity:  0.483
Genotoxicity:  0.277 RPMI-8226 Immunitoxicity:  0.036
A549 Cytotoxicity:  0.193 Hek293 Cytotoxicity:  0.339
BCF:   1.039
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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:   3.174
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.436
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.936
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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
NPO10366 Vincetoxicum stauntonii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26605 Funtumia elastica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26605 Funtumia elastica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10366 Vincetoxicum stauntonii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26605 Funtumia elastica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10366 Vincetoxicum stauntonii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10366 Vincetoxicum stauntonii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26674 Leucas volkensii Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24703 Prostanthera prunelloides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5175 Diplospora dubia Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26044 Melandrium firmum n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO26605 Funtumia elastica 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 NPC151843 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
0.6852 Remote Similarity NPC107059
0.6667 Remote Similarity NPC162742
0.6667 Remote Similarity NPC304309
0.6667 Remote Similarity NPC470228
0.6607 Remote Similarity NPC134847
0.6545 Remote Similarity NPC22105
0.6545 Remote Similarity NPC221758
0.6545 Remote Similarity NPC34019
0.6545 Remote Similarity NPC600590
0.65 Remote Similarity NPC474164
0.6429 Remote Similarity NPC136188
0.6429 Remote Similarity NPC28657
0.6429 Remote Similarity NPC474216
0.6429 Remote Similarity NPC154330
0.6316 Remote Similarity NPC230301
0.6316 Remote Similarity NPC113733
0.6316 Remote Similarity NPC198968
0.6316 Remote Similarity NPC285893
0.6207 Remote Similarity NPC241290
0.6207 Remote Similarity NPC164840
0.6207 Remote Similarity NPC51014
0.6207 Remote Similarity NPC484739
0.6207 Remote Similarity NPC209944
0.6207 Remote Similarity NPC264245
0.6207 Remote Similarity NPC155986
0.6102 Remote Similarity NPC328714
0.6102 Remote Similarity NPC321381
0.6066 Remote Similarity NPC155011
0.6 Remote Similarity NPC472265
0.6 Remote Similarity NPC318495
0.6 Remote Similarity NPC33913
0.6 Remote Similarity NPC59453
0.5926 Remote Similarity NPC96319
0.5902 Remote Similarity NPC603646
0.5862 Remote Similarity NPC328313
0.5806 Remote Similarity NPC243985
0.5806 Remote Similarity NPC473943
0.5806 Remote Similarity NPC280710
0.5806 Remote Similarity NPC240650
0.5714 Remote Similarity NPC47761
0.5714 Remote Similarity NPC488870
0.5692 Remote Similarity NPC176012
0.5645 Remote Similarity NPC477522
0.5484 Remote Similarity NPC1272
0.5484 Remote Similarity NPC470614
0.5455 Remote Similarity NPC601043
0.5455 Remote Similarity NPC605412
0.5424 Remote Similarity NPC151519
0.5333 Remote Similarity NPC20688
0.5286 Remote Similarity NPC147835
0.5286 Remote Similarity NPC253645
0.5286 Remote Similarity NPC85001
0.5286 Remote Similarity NPC95920
0.5246 Remote Similarity NPC76879
0.5143 Remote Similarity NPC235126
0.5143 Remote Similarity NPC242419
0.5079 Remote Similarity NPC87604

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC151843 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
0.6545 Remote Similarity NPD4786 Phase 1
0.6429 Remote Similarity NPD6942 Phase 4
0.6316 Remote Similarity NPD7339 Approved
0.5926 Remote Similarity NPD3701 Pre-clinical
0.5424 Remote Similarity NPD3667 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