Natural Product: NPC145143

Natural Product IDNPC145143
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
20(S),24(S)-Dihydroxydammara-26-En-3-One
IUPAC Name (5R,8R,9R,10R,13R,14R,17S)-17-[(2S,5S)-2,5-dihydroxy-6-methylhept-6-en-2-yl]-4,4,8,10,14-pentamethyl-1,2,5,6,7,9,11,12,13,15,16,17-dodecahydrocyclopenta[a]phenanthren-3-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL224814
PubChem CID 21607677
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 WLFYAHQFDJKVSZ-QCIZWGLLSA-N
Standard InCHI InChI=1S/C30H50O3/c1-19(2)22(31)12-18-30(8,33)21-11-16-28(6)20(21)9-10-24-27(5)15-14-25(32)26(3,4)23(27)13-17-29(24,28)7/h20-24,31,33H,1,9-18H2,2-8H3/t20-,21+,22+,23+,24-,27+,28-,29-,30+/m1/s1
SMILES CC(=C)[C@H](CC[C@@]([C@H]1CC[C@@]2([C@@H]1CC[C@H]1[C@@]2(C)CC[C@@H]2[C@]1(C)CCC(=O)C2(C)C)C)(O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.38 Volume:   514.308
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Van der Waals volume.
Dense:   0.891 LogP:   3.794
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.854
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.731
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   22.0
TPSA:   57.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.45 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.883 Fsp3:   0.9
MCE-18:   87.088
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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:   0.911 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:   0.002
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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:   0.694 Promiscuous compounds:   0.373

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.972 MDCK Permeability:   -4.771
Pgp-inhibitor:   0.269 Pgp-substrate:   0.002
PAMPA:   0.34
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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%):   0.028 30% Bioavailability (F30%):   0.043
50% Bioavailability (F50%):   0.986

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.01 MRP1:   0.918
Plasma Protein Binding (PPB):   95.911% Volume Distribution (VD):   0.239
Fu: 6.22%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.394
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.99 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.035
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.714
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.916
HLM stability:   0.804
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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):  11.562 Half-life (T1/2):  0.501

ADMET: Toxicity

hERG Blockers:  0.068 hERG Blockers (10um):  0.212
Human Hepatotoxicity (H-HT):  0.772 Drug-induced Liver Injury (DILI):  0.077
AMES Toxicity:  0.166 Rat Oral Acute Toxicity:  0.33
Maximum Recommended Daily Dose:  0.882 Skin Sensitization:  0.871
Carcinogencity:  0.75 Eye Corrosion:  0.073
Eye Irritation:  0.541 Respiratory Toxicity:  0.825
Drug-induced Neurotoxicity:  0.371 Ototoxicity:  0.577
Hematotoxicity:  0.45 Drug-induced Nephrotoxicity:  0.869
Genotoxicity:  0.798 RPMI-8226 Immunitoxicity:  0.086
A549 Cytotoxicity:  0.194 Hek293 Cytotoxicity:  0.413
BCF:   1.239
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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:   3.566
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.055
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.386
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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
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota floral spikes n.a. n.a. PMID[17346076]
NPO7602 Aglaia abbreviata Species Meliaceae Eukaryota n.a. stem n.a. PMID[21087017]
NPO7602 Aglaia abbreviata Species Meliaceae Eukaryota n.a. n.a. n.a. PMID[21087017]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota bark n.a. n.a. PMID[9873651]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4138.1 Betula platyphylla var. japonica Varieties Betulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7602 Aglaia abbreviata 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
NPT91 Cell line KB Homo sapiens IC50 = 70200.0 nM PMID[17346076]
NPT111 Cell line K562 Homo sapiens IC50 = 40200.0 nM PMID[17346076]
NPT83 Cell line MCF7 Homo sapiens IC50 = 73100.0 nM PMID[17346076]
NPT407 Cell line COLO 205 Homo sapiens IC50 = 58800.0 nM PMID[17346076]

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 NPC145143 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
0.7321 Intermediate Similarity NPC215843
0.6786 Remote Similarity NPC245869
0.6 Remote Similarity NPC473225
0.5645 Remote Similarity NPC201459
0.5625 Remote Similarity NPC193360
0.5556 Remote Similarity NPC91665
0.5469 Remote Similarity NPC474484
0.5397 Remote Similarity NPC92139
0.5385 Remote Similarity NPC175410
0.5312 Remote Similarity NPC103754
0.5246 Remote Similarity NPC43300
0.5231 Remote Similarity NPC245029
0.5231 Remote Similarity NPC31302
0.5152 Remote Similarity NPC479792
0.5079 Remote Similarity NPC285761
0.5079 Remote Similarity NPC34930
0.5079 Remote Similarity NPC604288
0.5077 Remote Similarity NPC63020

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC145143 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