Natural Product: NPC125399

Natural Product IDNPC125399
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Dihydroniloticin
IUPAC Name (3S,5R,9R,10R,13S,14S,17S)-17-[(2S,4R)-4-[(2S)-3,3-dimethyloxiran-2-yl]-4-hydroxybutan-2-yl]-4,4,10,13,14-pentamethyl-2,3,5,6,9,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-3-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2386303
PubChem CID 73351981
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 UMTABACRBSGXGK-ZAVAKTSASA-N
Standard InCHI InChI=1S/C30H50O3/c1-18(17-22(31)25-27(4,5)33-25)19-11-15-30(8)21-9-10-23-26(2,3)24(32)13-14-28(23,6)20(21)12-16-29(19,30)7/h9,18-20,22-25,31-32H,10-17H2,1-8H3/t18-,19-,20-,22+,23-,24-,25-,28+,29-,30+/m0/s1
SMILES C[C@H]([C@@H]1CC[C@]2([C@@]1(C)CC[C@H]1C2=CC[C@@H]2[C@]1(C)CC[C@@H](C2(C)C)O)C)C[C@H]([C@@H]1OC1(C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.38 Volume:   508.388
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Van der Waals volume.
Dense:   0.902 LogP:   5.091
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.224
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.415
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   23.0
TPSA:   52.99
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.372 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.975 Fsp3:   0.933
MCE-18:   98.276
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.846 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:   0.017
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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:   0.307 Promiscuous compounds:   0.1

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.97 MDCK Permeability:   -4.824
Pgp-inhibitor:   0.621 Pgp-substrate:   0.244
PAMPA:   0.922
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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%):   0.122 30% Bioavailability (F30%):   0.075
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.708 MRP1:   0.688
Plasma Protein Binding (PPB):   89.697% Volume Distribution (VD):   -0.116
Fu: 12.297%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.968
BSEP inhibitor:   0.973

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.005
CYP2C19-inhibitor:   0.946 CYP2C19-substrate:   0.596
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.629
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.922
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.991
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
HLM stability:   0.981
?
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):  15.936 Half-life (T1/2):  1.165

ADMET: Toxicity

hERG Blockers:  0.067 hERG Blockers (10um):  0.356
Human Hepatotoxicity (H-HT):  0.559 Drug-induced Liver Injury (DILI):  0.103
AMES Toxicity:  0.23 Rat Oral Acute Toxicity:  0.223
Maximum Recommended Daily Dose:  0.656 Skin Sensitization:  0.826
Carcinogencity:  0.777 Eye Corrosion:  0.009
Eye Irritation:  0.344 Respiratory Toxicity:  0.661
Drug-induced Neurotoxicity:  0.076 Ototoxicity:  0.74
Hematotoxicity:  0.261 Drug-induced Nephrotoxicity:  0.486
Genotoxicity:  0.18 RPMI-8226 Immunitoxicity:  0.065
A549 Cytotoxicity:  0.119 Hek293 Cytotoxicity:  0.407
BCF:   2.354
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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:   4.327
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.415
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.061
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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
NPO10033 Turraea pubescens Species Meliaceae Eukaryota twig Dongfang, Hainan Province, China 2010-Mar PMID[23734701]
NPO10033 Turraea pubescens Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10033 Turraea pubescens Species Meliaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 > 20000.0 nM PMID[25437914]
NPT116 Cell line HL-60 Homo sapiens IC50 < 10000.0 nM PMID[20619938]

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 NPC125399 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 NPC486522
0.7458 Intermediate Similarity NPC30166
0.7302 Intermediate Similarity NPC486521
0.7302 Intermediate Similarity NPC262870
0.7097 Intermediate Similarity NPC470077
0.7097 Intermediate Similarity NPC470049
0.6567 Remote Similarity NPC324598
0.6515 Remote Similarity NPC210268
0.6515 Remote Similarity NPC190604
0.6462 Remote Similarity NPC486523
0.6418 Remote Similarity NPC472240
0.6418 Remote Similarity NPC262858
0.6406 Remote Similarity NPC470224
0.6176 Remote Similarity NPC484789
0.6176 Remote Similarity NPC484801
0.6176 Remote Similarity NPC484786
0.6176 Remote Similarity NPC484787
0.6176 Remote Similarity NPC484788
0.6087 Remote Similarity NPC471293
0.6 Remote Similarity NPC484791
0.6 Remote Similarity NPC5358
0.6 Remote Similarity NPC484790
0.6 Remote Similarity NPC216260
0.5758 Remote Similarity NPC328052
0.5652 Remote Similarity NPC318390
0.5455 Remote Similarity NPC1319
0.5441 Remote Similarity NPC73969
0.5362 Remote Similarity NPC90652
0.5362 Remote Similarity NPC155255
0.5352 Remote Similarity NPC142361
0.5352 Remote Similarity NPC474684
0.519 Remote Similarity NPC609156
0.5143 Remote Similarity NPC196485
0.5143 Remote Similarity NPC245972
0.5143 Remote Similarity NPC260992
0.5139 Remote Similarity NPC471224
0.5068 Remote Similarity NPC470375
0.5068 Remote Similarity NPC470376

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125399 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