Natural Product: NPC119355

Natural Product IDNPC119355
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.
30-Hydroxy-Betulin
IUPAC Name (1R,3aS,5aR,5bR,7aR,9S,11aR,11bR,13aR,13bS)-3a-(hydroxymethyl)-1-(3-hydroxyprop-1-en-2-yl)-5a,5b,8,8,11a-pentamethyl-1,2,3,4,5,6,7,7a,9,10,11,11b,12,13,13a,13b-hexadecahydrocyclopenta[a]chrysen-9-ol
Synonyms 30-Hydroxy-Betulin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL141717
PubChem CID 473110
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 XTNACZMKNVUNAA-ROUWMTJPSA-N
Standard InCHI InChI=1S/C30H50O3/c1-19(17-31)20-9-14-30(18-32)16-15-28(5)21(25(20)30)7-8-23-27(4)12-11-24(33)26(2,3)22(27)10-13-29(23,28)6/h20-25,31-33H,1,7-18H2,2-6H3/t20-,21+,22-,23+,24-,25+,27-,28+,29+,30+/m0/s1
SMILES C=C(CO)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]12)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.38 Volume:   508.388
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Van der Waals volume.
Dense:   0.902 LogP:   4.398
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.13
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.596
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   26.0
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:   0.457 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.909 Fsp3:   0.933
MCE-18:   100.793
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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:   0.639 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.002
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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:   0.397 Promiscuous compounds:   0.228

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.969 MDCK Permeability:   -4.791
Pgp-inhibitor:   0.0 Pgp-substrate:   0.987
PAMPA:   0.946
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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):   0.008
20% Bioavailability (F20%):   0.885 30% Bioavailability (F30%):   0.975
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.998 MRP1:   0.848
Plasma Protein Binding (PPB):   88.561% Volume Distribution (VD):   -0.073
Fu: 12.207%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.592
OATP1B3 inhibitor:   0.257 BCRP inhibitor:   0.445
BSEP inhibitor:   0.026

ADMET: Metabolism

CYP1A2-inhibitor:   0.009 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.657 CYP2C19-substrate:   0.023
CYP2C9-inhibitor:   0.002 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.072 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.727 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.975
HLM stability:   0.076
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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):  8.271 Half-life (T1/2):  1.01

ADMET: Toxicity

hERG Blockers:  0.108 hERG Blockers (10um):  0.195
Human Hepatotoxicity (H-HT):  0.681 Drug-induced Liver Injury (DILI):  0.287
AMES Toxicity:  0.476 Rat Oral Acute Toxicity:  0.147
Maximum Recommended Daily Dose:  0.452 Skin Sensitization:  0.973
Carcinogencity:  0.936 Eye Corrosion:  0.021
Eye Irritation:  0.729 Respiratory Toxicity:  0.91
Drug-induced Neurotoxicity:  0.097 Ototoxicity:  0.602
Hematotoxicity:  0.603 Drug-induced Nephrotoxicity:  0.795
Genotoxicity:  0.445 RPMI-8226 Immunitoxicity:  0.046
A549 Cytotoxicity:  0.211 Hek293 Cytotoxicity:  0.404
BCF:   1.666
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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:   3.745
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.177
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.524
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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
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota stem n.a. n.a. PMID[16643054]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota leaves n.a. n.a. PMID[17125218]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. root n.a. PMID[17315960]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota roots n.a. n.a. PMID[17315960]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18590313]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22423 Microtropis fokienensis Species Celastraceae 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
NPT759 Cell line H9 Homo sapiens IC50 > 140000.0 nM PMID[26819664]
NPT759 Cell line H9 Homo sapiens EC50 = 50800.0 nM PMID[26819664]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 EC50 = 50815.94 nM PubChem BioAssay data set

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 NPC119355 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
0.88 High Similarity NPC231256
0.88 High Similarity NPC178383
0.8077 Intermediate Similarity NPC248830
0.8077 Intermediate Similarity NPC212241
0.7547 Intermediate Similarity NPC78067
0.7547 Intermediate Similarity NPC278091
0.6964 Remote Similarity NPC5767
0.6964 Remote Similarity NPC475742
0.6852 Remote Similarity NPC192638
0.6852 Remote Similarity NPC25511
0.6852 Remote Similarity NPC600137
0.661 Remote Similarity NPC474484
0.6552 Remote Similarity NPC86305
0.6552 Remote Similarity NPC212879
0.6452 Remote Similarity NPC168231
0.6379 Remote Similarity NPC93662
0.6271 Remote Similarity NPC246956
0.6271 Remote Similarity NPC74595
0.6271 Remote Similarity NPC264665
0.6271 Remote Similarity NPC269396
0.6207 Remote Similarity NPC472742
0.6066 Remote Similarity NPC12774
0.6034 Remote Similarity NPC144075
0.6034 Remote Similarity NPC104387
0.6034 Remote Similarity NPC301226
0.5893 Remote Similarity NPC142712
0.5862 Remote Similarity NPC185536
0.5846 Remote Similarity NPC16377
0.5789 Remote Similarity NPC480925
0.5789 Remote Similarity NPC48079
0.5781 Remote Similarity NPC607755
0.5763 Remote Similarity NPC91573
0.5763 Remote Similarity NPC202540
0.5738 Remote Similarity NPC201459
0.569 Remote Similarity NPC606606
0.5667 Remote Similarity NPC42853
0.5667 Remote Similarity NPC237460
0.5625 Remote Similarity NPC5280
0.5593 Remote Similarity NPC97534
0.5593 Remote Similarity NPC195155
0.5574 Remote Similarity NPC296701
0.5574 Remote Similarity NPC218616
0.5556 Remote Similarity NPC474233
0.5538 Remote Similarity NPC483720
0.55 Remote Similarity NPC245869
0.5469 Remote Similarity NPC175410
0.5397 Remote Similarity NPC103754
0.5357 Remote Similarity NPC232112
0.5323 Remote Similarity NPC211009
0.5316 Remote Similarity NPC478270
0.5316 Remote Similarity NPC478271
0.5303 Remote Similarity NPC33768
0.5238 Remote Similarity NPC13554
0.5231 Remote Similarity NPC477577
0.5156 Remote Similarity NPC298168
0.5156 Remote Similarity NPC143133
0.5156 Remote Similarity NPC126993
0.5152 Remote Similarity NPC264317
0.5152 Remote Similarity NPC294438
0.5077 Remote Similarity NPC49599
0.5077 Remote Similarity NPC49627

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC119355 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
0.5152 Remote Similarity NPD7520 Phase 1

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