Natural Product: NPC280782

Natural Product IDNPC280782
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.
Hemslecin A
IUPAC Name [(6R)-6-hydroxy-2-methyl-5-oxo-6-[(2S,3S,8S,9R,10R,13R,14S,16R,17R)-2,3,16-trihydroxy-4,4,9,13,14-pentamethyl-11-oxo-1,2,3,7,8,10,12,15,16,17-decahydrocyclopenta[a]phenanthren-17-yl]heptan-2-yl] acetate
Synonyms Hemslecin A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2332392
PubChem CID 181183
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001686] Cucurbitacins

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 LKYNAQSYQLFTCM-GYXNDICUSA-N
Standard InCHI InChI=1S/C32H50O8/c1-17(33)40-27(2,3)13-12-23(36)32(9,39)25-21(35)15-29(6)22-11-10-18-19(14-20(34)26(38)28(18,4)5)31(22,8)24(37)16-30(25,29)7/h10,19-22,25-26,34-35,38-39H,11-16H2,1-9H3/t19-,20+,21-,22+,25+,26-,29+,30-,31+,32+/m1/s1
SMILES CC(=O)OC(C)(C)CCC(=O)[C@@](C)([C@H]1[C@@H](C[C@@]2(C)[C@@H]3CC=C4[C@@H](C[C@@H]([C@H](C4(C)C)O)O)[C@]3(C)C(=O)C[C@]12C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   562.35 Volume:   587.578
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Van der Waals volume.
Dense:   0.957 LogP:   2.313
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.707
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.941
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   23.0
TPSA:   141.36
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.285 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.427 Fsp3:   0.844
MCE-18:   98.983
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.728 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:   0.004
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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:   0.25 Promiscuous compounds:   0.704

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.998 MDCK Permeability:   -4.574
Pgp-inhibitor:   0.04 Pgp-substrate:   0.035
PAMPA:   0.986
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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):   0.006
20% Bioavailability (F20%):   0.097 30% Bioavailability (F30%):   0.414
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.131 MRP1:   0.985
Plasma Protein Binding (PPB):   79.791% Volume Distribution (VD):   -0.052
Fu: 21.366%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.429
BSEP inhibitor:   0.982

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.538
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.015
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.134
CYP3A4-inhibitor:   0.923 CYP3A4-substrate:   0.989
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.58
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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):  7.758 Half-life (T1/2):  1.383

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.137
Human Hepatotoxicity (H-HT):  0.305 Drug-induced Liver Injury (DILI):  0.159
AMES Toxicity:  0.509 Rat Oral Acute Toxicity:  0.288
Maximum Recommended Daily Dose:  0.533 Skin Sensitization:  0.883
Carcinogencity:  0.525 Eye Corrosion:  0.0
Eye Irritation:  0.054 Respiratory Toxicity:  0.314
Drug-induced Neurotoxicity:  0.075 Ototoxicity:  0.646
Hematotoxicity:  0.492 Drug-induced Nephrotoxicity:  0.864
Genotoxicity:  0.968 RPMI-8226 Immunitoxicity:  0.366
A549 Cytotoxicity:  0.085 Hek293 Cytotoxicity:  0.239
BCF:   0.452
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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:   4.64
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.834
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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
NPO33474 hemsleya penxianensis Species Cucurbitaceae Eukaryota n.a. n.a. n.a. PMID[24717151]
NPO33474 hemsleya penxianensis Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT323 Cell line SW-620 Homo sapiens IC50 = 1.11 ug.mL-1 PMID[26231157]
NPT407 Cell line COLO 205 Homo sapiens IC50 = 1.09 ug.mL-1 PMID[18227183]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 11.53 ug.mL-1 PMID[24717151]
NPT963 Organism Hepatitis B virus Hepatitis B virus IC50 = 11200.0 nM DrugMatrix in vitro pharmacology data
NPT963 Organism Hepatitis B virus Hepatitis B virus IC50 > 66200.0 nM PMID[23327905]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 = 5.8 n.a. PMID[10743948]
NPT2 Others Unspecified n.a. Ratio CC50/IC50 < 1.0 n.a. PMID[19734910]

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 NPC280782 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
0.7727 Intermediate Similarity NPC191892
0.7714 Intermediate Similarity NPC196528
0.7222 Intermediate Similarity NPC257457
0.7222 Intermediate Similarity NPC311554
0.6757 Remote Similarity NPC304495
0.6714 Remote Similarity NPC214644
0.6119 Remote Similarity NPC110149
0.6047 Remote Similarity NPC486351
0.6027 Remote Similarity NPC165873
0.5974 Remote Similarity NPC486346
0.5811 Remote Similarity NPC49371
0.5811 Remote Similarity NPC479419
0.55 Remote Similarity NPC100267
0.55 Remote Similarity NPC475524
0.55 Remote Similarity NPC482855
0.5395 Remote Similarity NPC117185
0.5375 Remote Similarity NPC484814
0.5375 Remote Similarity NPC471854
0.5119 Remote Similarity NPC486347

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC280782 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