Natural Product: NPC36783

Natural Product IDNPC36783
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UJGXCOFZMJCRLN-SBVJFDTMSA-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 UJGXCOFZMJCRLN-SBVJFDTMSA-N
Standard InCHI InChI=1S/C23H39NO/c1-15(24(4)5)19-8-9-20-18-7-6-16-14-17(25)10-12-22(16,2)21(18)11-13-23(19,20)3/h6,15,17-21,25H,7-14H2,1-5H3/t15-,17-,18+,19+,20+,21+,22-,23+/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)N(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   345.3 Volume:   389.289
?
Van der Waals volume.
Dense:   0.887 LogP:   3.852
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.484
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.204
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   20.0
TPSA:   23.47
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.721 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.312 Fsp3:   0.913
MCE-18:   69.727
?
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:   0.842 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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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:   0.142 Promiscuous compounds:   0.074

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.221 MDCK Permeability:   -5.009
Pgp-inhibitor:   0.046 Pgp-substrate:   0.597
PAMPA:   0.106
?
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%):   0.039
50% Bioavailability (F50%):   0.928

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.964 MRP1:   0.781
Plasma Protein Binding (PPB):   54.369% Volume Distribution (VD):   0.214
Fu: 47.403%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.878
OATP1B3 inhibitor:   0.266 BCRP inhibitor:   0.443
BSEP inhibitor:   0.317

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.052 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.964 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.986 CYP3A4-substrate:   0.601
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.023
?
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):  18.457 Half-life (T1/2):  1.824

ADMET: Toxicity

hERG Blockers:  0.242 hERG Blockers (10um):  0.337
Human Hepatotoxicity (H-HT):  0.701 Drug-induced Liver Injury (DILI):  0.228
AMES Toxicity:  0.148 Rat Oral Acute Toxicity:  0.262
Maximum Recommended Daily Dose:  0.637 Skin Sensitization:  0.983
Carcinogencity:  0.768 Eye Corrosion:  0.058
Eye Irritation:  0.324 Respiratory Toxicity:  0.883
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.692
Hematotoxicity:  0.379 Drug-induced Nephrotoxicity:  0.602
Genotoxicity:  0.178 RPMI-8226 Immunitoxicity:  0.073
A549 Cytotoxicity:  0.193 Hek293 Cytotoxicity:  0.416
BCF:   1.334
?
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:   3.288
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.48
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.017
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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 NPC36783 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
0.6792 Remote Similarity NPC162742
0.6792 Remote Similarity NPC304309
0.6792 Remote Similarity NPC470228
0.6667 Remote Similarity NPC22105
0.6667 Remote Similarity NPC221758
0.6667 Remote Similarity NPC34019
0.6667 Remote Similarity NPC107059
0.6667 Remote Similarity NPC21773
0.6667 Remote Similarity NPC600590
0.6545 Remote Similarity NPC136188
0.6545 Remote Similarity NPC28657
0.6545 Remote Similarity NPC474216
0.6545 Remote Similarity NPC154330
0.6491 Remote Similarity NPC75810
0.6429 Remote Similarity NPC230301
0.6429 Remote Similarity NPC113733
0.6429 Remote Similarity NPC198968
0.6429 Remote Similarity NPC285893
0.6429 Remote Similarity NPC134847
0.6316 Remote Similarity NPC241290
0.6316 Remote Similarity NPC164840
0.6316 Remote Similarity NPC51014
0.6316 Remote Similarity NPC484739
0.6316 Remote Similarity NPC209944
0.6316 Remote Similarity NPC264245
0.6316 Remote Similarity NPC155986
0.6207 Remote Similarity NPC328714
0.6207 Remote Similarity NPC321381
0.6167 Remote Similarity NPC243985
0.6167 Remote Similarity NPC280710
0.6167 Remote Similarity NPC240650
0.6102 Remote Similarity NPC472265
0.6102 Remote Similarity NPC318495
0.6102 Remote Similarity NPC33913
0.6102 Remote Similarity NPC59453
0.6066 Remote Similarity NPC474164
0.6038 Remote Similarity NPC96319
0.6 Remote Similarity NPC603646
0.5965 Remote Similarity NPC328313
0.5902 Remote Similarity NPC473943
0.5902 Remote Similarity NPC155011
0.5846 Remote Similarity NPC91604
0.5806 Remote Similarity NPC47761
0.5806 Remote Similarity NPC488870
0.5781 Remote Similarity NPC601043
0.5781 Remote Similarity NPC605412
0.5574 Remote Similarity NPC1272
0.5574 Remote Similarity NPC470614
0.5571 Remote Similarity NPC212874
0.5517 Remote Similarity NPC151519
0.5484 Remote Similarity NPC477522
0.5424 Remote Similarity NPC20688
0.5333 Remote Similarity NPC76879
0.5303 Remote Similarity NPC176012
0.5161 Remote Similarity NPC87604
0.5152 Remote Similarity NPC474189
0.5147 Remote Similarity NPC471083
0.5139 Remote Similarity NPC3715

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC36783 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
0.6667 Remote Similarity NPD4786 Phase 1
0.6545 Remote Similarity NPD6942 Phase 4
0.6429 Remote Similarity NPD7339 Approved
0.6038 Remote Similarity NPD3701 Pre-clinical
0.5517 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