Natural Product: NPC576406

Natural Product IDNPC576406
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Sitakisogenin
IUPAC Name (3~{S},4~{a}~{S},5~{S},6~{a}~{R},6~{a}~{S},6~{b}~{R},8~{a}~{R},10~{S},12~{a}~{R},14~{b}~{S})-4~{a}-(hydroxymethyl)-2,2,6~{a},6~{b},9,9,12~{a}-heptamethyl-1,3,4,5,6,6~{a},7,8,8~{a},10,11,12,13,14~{b}-tetradecahydropicene-3,5,10-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 XRTLKHZNPLDRSH-XRWCDFGBSA-N
Standard InCHI InChI=1S/C30H50O4/c1-25(2)14-19-18-8-9-21-27(5)12-11-22(32)26(3,4)20(27)10-13-28(21,6)29(18,7)15-24(34)30(19,17-31)16-23(25)33/h8,19-24,31-34H,9-17H2,1-7H3/t19-,20-,21+,22-,23-,24-,27-,28+,29+,30+/m0/s1
SMILES CC1(C)C[C@H]2C3=CC[C@@H]4[C@@]5(C)CC[C@H](O)C(C)(C)[C@@H]5CC[C@@]4(C)[C@]3(C)C[C@H](O)[C@@]2(CO)C[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   474.37 Volume:   517.178
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Van der Waals volume.
Dense:   0.917 LogP:   3.746
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.739
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.123
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   26.0
TPSA:   80.92
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.399 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.101 Fsp3:   0.933
MCE-18:   107.586
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.501 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:   0.013
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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:   0.389 Promiscuous compounds:   0.08

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.127 MDCK Permeability:   -4.774
Pgp-inhibitor:   0.002 Pgp-substrate:   0.863
PAMPA:   1.0
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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):   0.013
20% Bioavailability (F20%):   0.962 30% Bioavailability (F30%):   0.326
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.956 MRP1:   0.588
Plasma Protein Binding (PPB):   91.074% Volume Distribution (VD):   -0.138
Fu: 8.162%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.931 BCRP inhibitor:   0.833
BSEP inhibitor:   0.212

ADMET: Metabolism

CYP1A2-inhibitor:   0.029 CYP1A2-substrate:   0.011
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.99
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.005 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.028 CYP3A4-substrate:   0.189
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.94
HLM stability:   0.622
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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):  10.007 Half-life (T1/2):  0.738

ADMET: Toxicity

hERG Blockers:  0.032 hERG Blockers (10um):  0.135
Human Hepatotoxicity (H-HT):  0.569 Drug-induced Liver Injury (DILI):  0.184
AMES Toxicity:  0.767 Rat Oral Acute Toxicity:  0.708
Maximum Recommended Daily Dose:  0.741 Skin Sensitization:  0.968
Carcinogencity:  0.937 Eye Corrosion:  0.001
Eye Irritation:  0.353 Respiratory Toxicity:  0.89
Drug-induced Neurotoxicity:  0.083 Ototoxicity:  0.637
Hematotoxicity:  0.541 Drug-induced Nephrotoxicity:  0.729
Genotoxicity:  0.7 RPMI-8226 Immunitoxicity:  0.085
A549 Cytotoxicity:  0.926 Hek293 Cytotoxicity:  0.589
BCF:   1.508
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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:   3.693
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.26
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.513
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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
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11274-011-0870-8]
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11627-014-9655-8]
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29166 Gymnema sylvestre Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO29166 Gymnema sylvestre 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 NPC576406 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
0.8036 Intermediate Similarity NPC253807
0.8036 Intermediate Similarity NPC158662
0.7586 Intermediate Similarity NPC159168
0.7241 Intermediate Similarity NPC311078
0.6667 Remote Similarity NPC34177
0.6452 Remote Similarity NPC253402
0.6393 Remote Similarity NPC101475
0.629 Remote Similarity NPC235341
0.6212 Remote Similarity NPC488519
0.6167 Remote Similarity NPC290598
0.6167 Remote Similarity NPC30590
0.6129 Remote Similarity NPC237344
0.6056 Remote Similarity NPC283343
0.6032 Remote Similarity NPC480924
0.6029 Remote Similarity NPC164349
0.5972 Remote Similarity NPC473160
0.5873 Remote Similarity NPC132478
0.5857 Remote Similarity NPC294360
0.5758 Remote Similarity NPC246708
0.5692 Remote Similarity NPC238992
0.5645 Remote Similarity NPC27765
0.5645 Remote Similarity NPC122418
0.5645 Remote Similarity NPC491014
0.5625 Remote Similarity NPC196753
0.5616 Remote Similarity NPC471433
0.5616 Remote Similarity NPC471432
0.5606 Remote Similarity NPC480950
0.5588 Remote Similarity NPC187722
0.5538 Remote Similarity NPC40394
0.5507 Remote Similarity NPC7260
0.5507 Remote Similarity NPC182797
0.5507 Remote Similarity NPC210037
0.5507 Remote Similarity NPC120968
0.5507 Remote Similarity NPC171203
0.5507 Remote Similarity NPC307426
0.5507 Remote Similarity NPC98442
0.5507 Remote Similarity NPC242468
0.5507 Remote Similarity NPC227467
0.5507 Remote Similarity NPC273621
0.5507 Remote Similarity NPC52169
0.5507 Remote Similarity NPC488562
0.5469 Remote Similarity NPC474989
0.5455 Remote Similarity NPC230295
0.5455 Remote Similarity NPC95594
0.5455 Remote Similarity NPC98386
0.5405 Remote Similarity NPC86368
0.5397 Remote Similarity NPC120098
0.5373 Remote Similarity NPC133954
0.5362 Remote Similarity NPC480946
0.5362 Remote Similarity NPC130577
0.5362 Remote Similarity NPC142415
0.5362 Remote Similarity NPC102683
0.5352 Remote Similarity NPC202728
0.5352 Remote Similarity NPC158059
0.5352 Remote Similarity NPC228784
0.5352 Remote Similarity NPC49776
0.5352 Remote Similarity NPC324341
0.5352 Remote Similarity NPC63118
0.5352 Remote Similarity NPC474436
0.5352 Remote Similarity NPC601810
0.5333 Remote Similarity NPC258547
0.5286 Remote Similarity NPC51700
0.5286 Remote Similarity NPC88716
0.5286 Remote Similarity NPC68160
0.5278 Remote Similarity NPC480919
0.5224 Remote Similarity NPC470588
0.5217 Remote Similarity NPC477872
0.52 Remote Similarity NPC88349
0.5143 Remote Similarity NPC274330
0.5143 Remote Similarity NPC213412
0.5143 Remote Similarity NPC198664
0.5143 Remote Similarity NPC2539
0.5143 Remote Similarity NPC610937
0.5139 Remote Similarity NPC293564
0.5075 Remote Similarity NPC291379
0.5072 Remote Similarity NPC40552
0.507 Remote Similarity NPC112866
0.507 Remote Similarity NPC606443
0.5068 Remote Similarity NPC263393
0.5063 Remote Similarity NPC167383

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC576406 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
0.5286 Remote Similarity NPD7645 Phase 2

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