Natural Product: NPC26959

Natural Product IDNPC26959
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Gelliusterol B
IUPAC Name (3S,8S,9S,10R,13R,14S,17R)-17-[(2R)-hex-4-yn-2-yl]-3-hydroxy-10,13-dimethyl-1,2,3,4,8,9,11,12,14,15,16,17-dodecahydrocyclopenta[a]phenanthren-7-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL460037
PubChem CID 11046848
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001194] Oxosteroids

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 HHGLFNRDPUBPSI-GBWULGRTSA-N
Standard InCHI InChI=1S/C25H36O2/c1-5-6-7-16(2)19-8-9-20-23-21(11-13-25(19,20)4)24(3)12-10-18(26)14-17(24)15-22(23)27/h15-16,18-21,23,26H,7-14H2,1-4H3/t16-,18+,19-,20+,21+,23+,24+,25-/m1/s1
SMILES CC#CC[C@H]([C@H]1CC[C@@H]2[C@]1(C)CC[C@H]1[C@H]2C(=O)C=C2[C@]1(C)CC[C@@H](C2)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   368.27 Volume:   413.765
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Van der Waals volume.
Dense:   0.89 LogP:   3.916
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.596
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.577
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   22.0
TPSA:   37.3
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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:   0.684 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.605 Fsp3:   0.8
MCE-18:   68.178
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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:   Accepted GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.754 Fluc inhibitor:   0.011
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
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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:   0.294 Promiscuous compounds:   0.312

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.274 MDCK Permeability:   -5.044
Pgp-inhibitor:   0.603 Pgp-substrate:   0.01
PAMPA:   0.25
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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):   0.0
20% Bioavailability (F20%):   0.049 30% Bioavailability (F30%):   0.505
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.036
Plasma Protein Binding (PPB):   86.827% Volume Distribution (VD):   -0.094
Fu: 8.257%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.98
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.243
CYP2D6-inhibitor:   0.035 CYP2D6-substrate:   0.363
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.39
HLM stability:   0.097
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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):  16.216 Half-life (T1/2):  1.382

ADMET: Toxicity

hERG Blockers:  0.083 hERG Blockers (10um):  0.233
Human Hepatotoxicity (H-HT):  0.686 Drug-induced Liver Injury (DILI):  0.932
AMES Toxicity:  0.253 Rat Oral Acute Toxicity:  0.123
Maximum Recommended Daily Dose:  0.733 Skin Sensitization:  0.958
Carcinogencity:  0.91 Eye Corrosion:  0.434
Eye Irritation:  0.98 Respiratory Toxicity:  0.921
Drug-induced Neurotoxicity:  0.101 Ototoxicity:  0.497
Hematotoxicity:  0.423 Drug-induced Nephrotoxicity:  0.461
Genotoxicity:  0.177 RPMI-8226 Immunitoxicity:  0.038
A549 Cytotoxicity:  0.177 Hek293 Cytotoxicity:  0.714
BCF:   1.897
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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:   3.957
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.251
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.71
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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
NPO33338 gellius sp. Species Chalinidae Eukaryota n.a. n.a. n.a. PMID[11421735]

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
NPT168 Cell line P388 Mus musculus IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT139 Cell line HT-29 Homo sapiens IC50 > 1.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT81 Cell line A549 Homo sapiens IC50 > 1.0 ug.mL-1 DOI[10.6019/CHEMBL1201861]
NPT90 Cell line DU-145 Homo sapiens IC50 > 1.0 ug.mL-1 PMID[8699183]
NPT170 Cell line SK-MEL-28 Homo sapiens IC50 > 1.0 ug.mL-1 PMID[8699183]

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 NPC26959 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
0.9038 High Similarity NPC268406
0.7778 Intermediate Similarity NPC31564
0.7778 Intermediate Similarity NPC145879
0.7321 Intermediate Similarity NPC474778
0.7321 Intermediate Similarity NPC474733
0.6897 Remote Similarity NPC474732
0.6897 Remote Similarity NPC58063
0.6885 Remote Similarity NPC599942
0.6316 Remote Similarity NPC189972
0.5968 Remote Similarity NPC186688
0.5672 Remote Similarity NPC489072
0.5424 Remote Similarity NPC162742
0.5424 Remote Similarity NPC304309
0.5424 Remote Similarity NPC470228
0.5397 Remote Similarity NPC472265
0.5397 Remote Similarity NPC59453
0.5333 Remote Similarity NPC221758
0.5333 Remote Similarity NPC34019
0.5167 Remote Similarity NPC81306
0.5161 Remote Similarity NPC230301
0.5161 Remote Similarity NPC198968
0.5161 Remote Similarity NPC285893
0.5156 Remote Similarity NPC33913
0.5082 Remote Similarity NPC22105
0.5082 Remote Similarity NPC107059
0.5079 Remote Similarity NPC51014
0.5077 Remote Similarity NPC474752
0.5077 Remote Similarity NPC474683
0.5077 Remote Similarity NPC603646

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC26959 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
0.5333 Remote Similarity NPD4786 Phase 1
0.5161 Remote Similarity NPD7339 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