Natural Product: NPC129829

Natural Product IDNPC129829
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.
3Beta,15Alpha,22-Trihydroxyhopane
IUPAC Name (3S,3aS,5S,5aR,5bR,7aR,9S,11aR,11bR,13aR,13bS)-3-(2-hydroxypropan-2-yl)-5a,5b,8,8,11a,13b-hexamethyl-1,2,3,3a,4,5,6,7,7a,9,10,11,11b,12,13,13a-hexadecahydrocyclopenta[a]chrysene-5,9-diol
Synonyms 3Beta,15Alpha,22-Trihydroxyhopane
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1928583
PubChem CID 57397239
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001823] Hopanoids

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 DKCBVIPOQXEXSD-NPOVCAEKSA-N
Standard InCHI InChI=1S/C30H52O3/c1-25(2)20-12-16-29(7)21(28(20,6)15-13-23(25)31)9-10-22-27(5)14-11-18(26(3,4)33)19(27)17-24(32)30(22,29)8/h18-24,31-33H,9-17H2,1-8H3/t18-,19-,20-,21+,22+,23-,24-,27-,28-,29+,30-/m0/s1
SMILES CC1(C)[C@@H]2CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H]([C@@H]5C[C@@H]([C@@]34C)O)C(C)(C)O)[C@@]2(C)CC[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   460.39 Volume:   511.024
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Van der Waals volume.
Dense:   0.901 LogP:   4.991
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.531
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.549
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   25.0
TPSA:   60.69
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.437 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.948 Fsp3:   1.0
MCE-18:   108.0
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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:   0.504 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:   0.007
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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:   0.431 Promiscuous compounds:   0.382

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.322 MDCK Permeability:   -5.026
Pgp-inhibitor:   0.042 Pgp-substrate:   0.348
PAMPA:   0.974
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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):   0.002
20% Bioavailability (F20%):   0.111 30% Bioavailability (F30%):   0.016
50% Bioavailability (F50%):   0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.989 MRP1:   0.535
Plasma Protein Binding (PPB):   96.358% Volume Distribution (VD):   -0.28
Fu: 3.987%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.957 BCRP inhibitor:   0.926
BSEP inhibitor:   0.871

ADMET: Metabolism

CYP1A2-inhibitor:   0.444 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.991 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.012 CYP2D6-substrate:   0.046
CYP3A4-inhibitor:   0.361 CYP3A4-substrate:   0.932
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.918
HLM stability:   0.617
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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):  15.807 Half-life (T1/2):  1.369

ADMET: Toxicity

hERG Blockers:  0.06 hERG Blockers (10um):  0.133
Human Hepatotoxicity (H-HT):  0.582 Drug-induced Liver Injury (DILI):  0.188
AMES Toxicity:  0.338 Rat Oral Acute Toxicity:  0.155
Maximum Recommended Daily Dose:  0.63 Skin Sensitization:  0.978
Carcinogencity:  0.961 Eye Corrosion:  0.035
Eye Irritation:  0.742 Respiratory Toxicity:  0.881
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.702
Hematotoxicity:  0.458 Drug-induced Nephrotoxicity:  0.889
Genotoxicity:  0.211 RPMI-8226 Immunitoxicity:  0.06
A549 Cytotoxicity:  0.158 Hek293 Cytotoxicity:  0.447
BCF:   1.571
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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:   3.784
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.265
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.539
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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
NPO30117 Hypocrella Genus Clavicipitaceae Eukaryota n.a. mycelium n.a. PMID[21995505]
NPO33604 Hypocrella sp. BCC 14524 Species Clavicipitaceae Eukaryota n.a. The fungus used in this study was isolated from a scale insect collected in Nam Nao National Park, Phetcha Bun Province, Thailand n.a. PMID[21995505]
NPO33604 Hypocrella sp. BCC 14524 Species Clavicipitaceae 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
NPT115 Organism Mycobacterium tuberculosis H37Ra Mycobacterium tuberculosis H37Ra MIC > 50.0 ug.mL-1 PMID[21995505]

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 NPC129829 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
0.7778 Intermediate Similarity NPC127094
0.7292 Intermediate Similarity NPC254037
0.6429 Remote Similarity NPC220379
0.6154 Remote Similarity NPC480925
0.6154 Remote Similarity NPC48079
0.5439 Remote Similarity NPC285761
0.5439 Remote Similarity NPC34930
0.5385 Remote Similarity NPC11908
0.5263 Remote Similarity NPC245869
0.5254 Remote Similarity NPC13554
0.5172 Remote Similarity NPC73515
0.5098 Remote Similarity NPC162685
0.5094 Remote Similarity NPC232112
0.5091 Remote Similarity NPC142712

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC129829 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