Natural Product: NPC305260

Natural Product IDNPC305260
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
17Beta-Hydroxywithanolide K
IUPAC Name (2R)-2-[(1S)-1-[(8R,9S,10R,13S,14R,17S)-14,17-dihydroxy-10,13-dimethyl-1-oxo-2,7,8,9,11,12,15,16-octahydrocyclopenta[a]phenanthren-17-yl]-1-hydroxyethyl]-4,5-dimethyl-2,3-dihydropyran-6-one
Synonyms 17Beta-Hydroxywithanolide K
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL530114
PubChem CID 44562998
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001560] Withanolides 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 HYSIDFWCYWFQMQ-MEZCUPPISA-N
Standard InCHI InChI=1S/C28H38O6/c1-16-15-22(34-23(30)17(16)2)26(5,31)28(33)14-13-27(32)20-10-9-18-7-6-8-21(29)25(18,4)19(20)11-12-24(27,28)3/h6-7,9,19-20,22,31-33H,8,10-15H2,1-5H3/t19-,20+,22+,24-,25-,26-,27+,28-/m0/s1
SMILES CC1=C(C)C(=O)O[C@H](C1)[C@@](C)([C@@]1(CC[C@]2([C@@H]3CC=C4C=CCC(=O)[C@]4(C)[C@H]3CC[C@]12C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.27 Volume:   489.621
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Van der Waals volume.
Dense:   0.96 LogP:   1.4
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.872
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.541
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   28.0
TPSA:   104.06
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.534 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.349 Fsp3:   0.714
MCE-18:   98.167
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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:   0.17 Fluc inhibitor:   0.082
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.013
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.43 Promiscuous compounds:   0.352

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.154 MDCK Permeability:   -4.853
Pgp-inhibitor:   0.006 Pgp-substrate:   0.906
PAMPA:   0.976
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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):   0.02
20% Bioavailability (F20%):   0.562 30% Bioavailability (F30%):   0.783
50% Bioavailability (F50%):   0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.235 MRP1:   0.991
Plasma Protein Binding (PPB):   93.756% Volume Distribution (VD):   0.129
Fu: 4.978%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.257
BSEP inhibitor:   0.961

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.034
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.944 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.038 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.477 CYP3A4-substrate:   0.96
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.973
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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):  5.155 Half-life (T1/2):  2.319

ADMET: Toxicity

hERG Blockers:  0.048 hERG Blockers (10um):  0.199
Human Hepatotoxicity (H-HT):  0.732 Drug-induced Liver Injury (DILI):  0.129
AMES Toxicity:  0.409 Rat Oral Acute Toxicity:  0.311
Maximum Recommended Daily Dose:  0.693 Skin Sensitization:  0.976
Carcinogencity:  0.905 Eye Corrosion:  0.014
Eye Irritation:  0.505 Respiratory Toxicity:  0.554
Drug-induced Neurotoxicity:  0.256 Ototoxicity:  0.444
Hematotoxicity:  0.233 Drug-induced Nephrotoxicity:  0.808
Genotoxicity:  0.95 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.225 Hek293 Cytotoxicity:  0.499
BCF:   0.518
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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:   3.123
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.503
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.849
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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
NPO13927 Withania coagulans Species Solanaceae Eukaryota fruits n.a. n.a. PMID[18952419]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[23316950]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13927 Withania coagulans Species Solanaceae 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
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 20.4 % PMID[19013063]
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 15.8 % PMID[19013063]





 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 NPC305260 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 NPC270850
0.7794 Intermediate Similarity NPC484743
0.7 Intermediate Similarity NPC153440
0.6667 Remote Similarity NPC225826
0.6133 Remote Similarity NPC107493
0.6053 Remote Similarity NPC103045
0.5833 Remote Similarity NPC173347
0.5584 Remote Similarity NPC484742
0.5556 Remote Similarity NPC5292
0.5513 Remote Similarity NPC158285
0.5316 Remote Similarity NPC79579
0.525 Remote Similarity NPC125794
0.525 Remote Similarity NPC171401
0.5185 Remote Similarity NPC285729
0.5122 Remote Similarity NPC5073
0.506 Remote Similarity NPC484745
0.5056 Remote Similarity NPC484715

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC305260 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
NPD

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