Natural Product: NPC153440

Natural Product IDNPC153440
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Withanolide F
IUPAC Name (2R)-2-[(1S)-1-[(8R,9S,10R,13S,14R,17S)-14,17-dihydroxy-10,13-dimethyl-1-oxo-4,7,8,9,11,12,15,16-octahydrocyclopenta[a]phenanthren-17-yl]-1-hydroxyethyl]-4,5-dimethyl-2,3-dihydropyran-6-one
Synonyms Withanolide F
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL488913
PubChem CID 44562999
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 GQHHHBATDOXAEP-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/h6,8-9,19-20,22,31-33H,7,10-15H2,1-5H3/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=C4CC=CC(=O)[C@]4(C)[C@H]3CC[C@]12C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.27 Volume:   489.621
?
Van der Waals volume.
Dense:   0.96 LogP:   1.632
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.107
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.984
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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:   0.421 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.301 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:   0.269 Fluc inhibitor:   0.122
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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:   0.016
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.439 Promiscuous compounds:   0.318

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.224 MDCK Permeability:   -4.865
Pgp-inhibitor:   0.001 Pgp-substrate:   0.903
PAMPA:   0.988
?
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%):   0.732 30% Bioavailability (F30%):   0.719
50% Bioavailability (F50%):   0.989

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.385 MRP1:   0.993
Plasma Protein Binding (PPB):   94.22% Volume Distribution (VD):   0.101
Fu: 4.823%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.07
BSEP inhibitor:   0.945

ADMET: Metabolism

CYP1A2-inhibitor:   0.999 CYP1A2-substrate:   0.032
CYP2C19-inhibitor:   0.991 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.944 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.173 CYP2D6-substrate:   0.005
CYP3A4-inhibitor:   0.101 CYP3A4-substrate:   0.995
CYP2B6-substrate:   0.001 CYP2C8-inhibitor:   1.0
HLM stability:   0.978
?
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):  5.069 Half-life (T1/2):  2.482

ADMET: Toxicity

hERG Blockers:  0.029 hERG Blockers (10um):  0.156
Human Hepatotoxicity (H-HT):  0.741 Drug-induced Liver Injury (DILI):  0.222
AMES Toxicity:  0.337 Rat Oral Acute Toxicity:  0.351
Maximum Recommended Daily Dose:  0.769 Skin Sensitization:  0.985
Carcinogencity:  0.93 Eye Corrosion:  0.011
Eye Irritation:  0.51 Respiratory Toxicity:  0.593
Drug-induced Neurotoxicity:  0.185 Ototoxicity:  0.361
Hematotoxicity:  0.225 Drug-induced Nephrotoxicity:  0.715
Genotoxicity:  0.975 RPMI-8226 Immunitoxicity:  0.074
A549 Cytotoxicity:  0.212 Hek293 Cytotoxicity:  0.466
BCF:   0.579
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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:   3.213
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.711
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.073
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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]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[28617598]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[30649869]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota Whole Fruits n.a. n.a. PMID[32159343]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
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]
NPO28734 Physalis peruviana Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
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]
NPO28734 Physalis peruviana 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
NPT2601 Individual protein NF-kappaB inhibitor alpha Homo sapiens IC50 > 50000.0 nM PubChem BioAssay data set

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT113 Cell line RAW264.7 Mus musculus IC50 = 10900.0 nM PMID[16300945]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 84.6 % PMID[17696332]
NPT858 Cell line LNCaP Homo sapiens IC50 = 130.0 nM PMID[28617598]
NPT1629 Cell line CWR22R Homo sapiens IC50 = 70.0 nM PMID[28617598]
NPT369 Cell line ACHN Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT387 Cell line M14 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT859 Cell line HFF Homo sapiens IC50 > 2000.0 nM PMID[28617598]
NPT2 Others Unspecified n.a. IC50 = 5700.0 nM PMID[8158155]
NPT2 Others Unspecified n.a. Inhibition = 90.8 % PubChem BioAssay data set
NPT2 Others Unspecified n.a. IC50 = 2000.0 nM PMID[20541427]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT71 Cell line HEK293 Homo sapiens Survival = 100.0 % PubChem BioAssay data set
NPT113 Cell line RAW264.7 Mus musculus Survival = 100.0 % PMID[8389875]
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 24.9 % PMID[23398362]
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 18.2 % PMID[23145909]





 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 NPC153440 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
0.875 High Similarity NPC107493
0.8615 High Similarity NPC103045
0.7857 Intermediate Similarity NPC5292
0.7647 Intermediate Similarity NPC79579
0.75 Intermediate Similarity NPC484742
0.75 Intermediate Similarity NPC225826
0.7246 Intermediate Similarity NPC190286
0.7 Intermediate Similarity NPC270850
0.7 Intermediate Similarity NPC176840
0.7 Intermediate Similarity NPC305260
0.6933 Remote Similarity NPC484718
0.68 Remote Similarity NPC484717
0.6351 Remote Similarity NPC46570
0.6351 Remote Similarity NPC44428
0.6351 Remote Similarity NPC78691
0.6216 Remote Similarity NPC191620
0.6216 Remote Similarity NPC158285
0.6098 Remote Similarity NPC173347
0.6053 Remote Similarity NPC470961
0.6 Remote Similarity NPC484725
0.5921 Remote Similarity NPC125794
0.5921 Remote Similarity NPC171401
0.5844 Remote Similarity NPC285729
0.5789 Remote Similarity NPC484743
0.55 Remote Similarity NPC484745
0.5316 Remote Similarity NPC29133
0.5287 Remote Similarity NPC484715
0.5185 Remote Similarity NPC5073
0.5122 Remote Similarity NPC474585
0.5063 Remote Similarity NPC486565

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC153440 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