Natural Product: NPC229620

Natural Product IDNPC229620
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Alpha-chaconine
IUPAC Name (2S,3R,4R,5R,6S)-2-[(2R,3S,4S,5R,6R)-4-hydroxy-2-(hydroxymethyl)-6-[[(1S,2S,7S,10R,11S,14S,15R,16S,17R,20S,23S)-10,14,16,20-tetramethyl-22-azahexacyclo[12.10.0.02,11.05,10.015,23.017,22]tetracos-4-en-7-yl]oxy]-5-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-3-yl]oxy-6-methyloxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 442971
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 TYNQWWGVEGFKRU-AJDPQWBVSA-N
Standard InCHI InChI=1S/C45H73NO14/c1-19-7-10-28-20(2)31-29(46(28)17-19)16-27-25-9-8-23-15-24(11-13-44(23,5)26(25)12-14-45(27,31)6)57-43-40(60-42-37(53)35(51)33(49)22(4)56-42)38(54)39(30(18-47)58-43)59-41-36(52)34(50)32(48)21(3)55-41/h8,19-22,24-43,47-54H,7,9-18H2,1-6H3/t19-,20+,21-,22-,24-,25+,26-,27-,28+,29-,30+,31-,32-,33-,34+,35+,36+,37+,38-,39+,40+,41-,42-,43+,44-,45-/m0/s1
SMILES C[C@H]1CC[C@@H]2[C@H]([C@H]3[C@@H](N2C1)C[C@@H]4[C@@]3(CC[C@H]5[C@H]4CC=C6[C@@]5(CC[C@@H](C6)O[C@H]7[C@@H]([C@H]([C@@H]([C@H](O7)CO)O[C@H]8[C@@H]([C@@H]([C@H]([C@@H](O8)C)O)O)O)O)O[C@H]9[C@@H]([C@@H]([C@H]([C@@H](O9)C)O)O)O)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   851.5 Volume:   841.291
?
Van der Waals volume.
Dense:   1.012 LogP:   1.768
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.559
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.357
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   47.0
TPSA:   220.46
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.169 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.243 Fsp3:   0.956
MCE-18:   166.273
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.825 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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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:   0.016 Promiscuous compounds:   0.003

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.13 MDCK Permeability:   -4.996
Pgp-inhibitor:   0.0 Pgp-substrate:   0.998
PAMPA:   0.996
?
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%):   0.008 30% Bioavailability (F30%):   0.778
50% Bioavailability (F50%):   0.996

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.159 MRP1:   0.354
Plasma Protein Binding (PPB):   65.04% Volume Distribution (VD):   -0.32
Fu: 26.641%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.87 BCRP inhibitor:   0.015
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.118 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.015
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.174
HLM stability:   0.389
?
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):  0.324 Half-life (T1/2):  2.708

ADMET: Toxicity

hERG Blockers:  0.054 hERG Blockers (10um):  0.231
Human Hepatotoxicity (H-HT):  0.277 Drug-induced Liver Injury (DILI):  0.758
AMES Toxicity:  0.806 Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.009 Skin Sensitization:  0.999
Carcinogencity:  0.04 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.996
Hematotoxicity:  0.265 Drug-induced Nephrotoxicity:  0.622
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.224
A549 Cytotoxicity:  0.806 Hek293 Cytotoxicity:  0.623
BCF:   2.099
?
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:   3.601
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.676
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.2
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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
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. n.a. DOI[10.1007/BF00232372]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. n.a. DOI[10.1016/j.jarmap.2018.11.004]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. Granola: the 1999 growing season DOI[10.1016/S0956-7135(03)00077-X]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. seeds n.a. n.a. PMID[12105963]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. n.a. PMID[2831703]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. Database[FooDB]
NPO16501.2 Capsicum annuum Under-species n.a. n.a. n.a. n.a. Database[Phenol-Explorer]

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
NPO16501.2 Capsicum annuum n.a. n.a. 0.7 to 1.93 n.a. n.a. mg/kg of FW DOI[10.1016/S0956-7135(03)00077-X]

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 NPC229620 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
1.0 High Similarity NPC265275
0.8387 Intermediate Similarity NPC600116
0.7959 Intermediate Similarity NPC48886
0.7959 Intermediate Similarity NPC94881
0.6562 Remote Similarity NPC165439
0.6408 Remote Similarity NPC94272
0.6111 Remote Similarity NPC470433
0.6111 Remote Similarity NPC46190
0.6111 Remote Similarity NPC171073
0.6091 Remote Similarity NPC475182
0.6055 Remote Similarity NPC248746
0.6055 Remote Similarity NPC122819
0.6 Remote Similarity NPC42171
0.5946 Remote Similarity NPC480555
0.5946 Remote Similarity NPC150372
0.5893 Remote Similarity NPC73243
0.5893 Remote Similarity NPC244086
0.5893 Remote Similarity NPC84956
0.5789 Remote Similarity NPC247037
0.5789 Remote Similarity NPC269297
0.5789 Remote Similarity NPC222202
0.5739 Remote Similarity NPC475333
0.5739 Remote Similarity NPC224098
0.5739 Remote Similarity NPC208383
0.569 Remote Similarity NPC194207
0.569 Remote Similarity NPC22779
0.5641 Remote Similarity NPC249265
0.5641 Remote Similarity NPC480554
0.5593 Remote Similarity NPC23808
0.5593 Remote Similarity NPC87998
0.5575 Remote Similarity NPC124677
0.5546 Remote Similarity NPC480553
0.55 Remote Similarity NPC308140
0.55 Remote Similarity NPC287885
0.549 Remote Similarity NPC486114
0.5484 Remote Similarity NPC91604
0.5455 Remote Similarity NPC232054
0.5403 Remote Similarity NPC224314
0.5385 Remote Similarity NPC486386
0.5339 Remote Similarity NPC13193
0.5323 Remote Similarity NPC480556
0.5294 Remote Similarity NPC254255
0.5089 Remote Similarity NPC470432
0.5089 Remote Similarity NPC230507
0.5089 Remote Similarity NPC15249
0.5089 Remote Similarity NPC25455

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC229620 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
0.6055 Remote Similarity NPD8449 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