Natural Product: NPC475403

Natural Product IDNPC475403
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Draconin C
IUPAC Name n.a.
Synonyms draconin C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL504939
PubChem CID 11104718
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 YYYQAUCUWHBYHS-CPMLXNJUSA-N
Standard InCHI InChI=1S/C40H60O15/c1-16-14-50-40(35(48)29(16)44)17(2)28-26(55-40)13-24-22-8-7-20-11-21(42)12-27(39(20,6)23(22)9-10-38(24,28)5)53-36-33(31(46)25(43)15-49-36)54-37-34(52-19(4)41)32(47)30(45)18(3)51-37/h7,17-18,21-37,42-48H,1,8-15H2,2-6H3/t17-,18-,21+,22+,23-,24-,25-,26-,27+,28-,29-,30-,31-,32+,33+,34+,35-,36-,37-,38-,39-,40-/m0/s1
SMILES CC1C2C(CC3C2(CCC4C3CC=C5C4(C(CC(C5)O)OC6C(C(C(CO6)O)O)OC7C(C(C(C(O7)C)O)O)OC(=O)C)C)C)OC18C(C(C(=C)CO8)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   780.39 Volume:   755.888
?
Van der Waals volume.
Dense:   1.032 LogP:   1.594
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.179
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.761
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   44.0
TPSA:   223.29
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Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   7.0 Rings:   8.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.149 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.7 Fsp3:   0.875
MCE-18:   209.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.055 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:   0.013
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.251
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.288 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.935 MDCK Permeability:   -5.095
Pgp-inhibitor:   0.0 Pgp-substrate:   0.995
PAMPA:   1.0
?
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):   0.727
20% Bioavailability (F20%):   0.456 30% Bioavailability (F30%):   0.973
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.009 MRP1:   1.0
Plasma Protein Binding (PPB):   44.155% Volume Distribution (VD):   -0.551
Fu: 59.354%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.421 BCRP inhibitor:   0.011
BSEP inhibitor:   0.11

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.008 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.045 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.012 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.0
?
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):  1.899 Half-life (T1/2):  3.956

ADMET: Toxicity

hERG Blockers:  0.082 hERG Blockers (10um):  0.356
Human Hepatotoxicity (H-HT):  0.537 Drug-induced Liver Injury (DILI):  0.379
AMES Toxicity:  0.47 Rat Oral Acute Toxicity:  0.535
Maximum Recommended Daily Dose:  0.731 Skin Sensitization:  0.004
Carcinogencity:  0.027 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.035
Drug-induced Neurotoxicity:  0.632 Ototoxicity:  1.0
Hematotoxicity:  0.011 Drug-induced Nephrotoxicity:  0.035
Genotoxicity:  0.033 RPMI-8226 Immunitoxicity:  0.209
A549 Cytotoxicity:  0.068 Hek293 Cytotoxicity:  0.925
BCF:   0.723
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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:   3.827
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.834
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.235
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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
NPO3545 Dracaena draco Species Asparagaceae Eukaryota bark n.a. n.a. PMID[12828464]
NPO3545 Dracaena draco Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3545 Dracaena draco Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3545 Dracaena draco Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3545 Dracaena draco Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3545 Dracaena draco Species Asparagaceae 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
NPT116 Cell line HL-60 Homo sapiens IC50 > 100000.0 nM PMID[12392731]
NPT116 Cell line HL-60 Homo sapiens Activity = 5.0 % PMID[21680190]

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 NPC475403 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
0.8526 High Similarity NPC473633
0.8316 Intermediate Similarity NPC476085
0.8105 Intermediate Similarity NPC51154
0.7879 Intermediate Similarity NPC160888
0.6635 Remote Similarity NPC11548
0.6577 Remote Similarity NPC229962
0.6538 Remote Similarity NPC112274
0.6518 Remote Similarity NPC50689
0.6429 Remote Similarity NPC195560
0.6346 Remote Similarity NPC70204
0.6346 Remote Similarity NPC475670
0.6218 Remote Similarity NPC295133
0.6174 Remote Similarity NPC479532
0.5962 Remote Similarity NPC306131
0.5962 Remote Similarity NPC200802
0.5635 Remote Similarity NPC257207
0.5528 Remote Similarity NPC198325
0.5514 Remote Similarity NPC475431
0.5345 Remote Similarity NPC475247
0.5345 Remote Similarity NPC294129
0.5339 Remote Similarity NPC475487
0.5333 Remote Similarity NPC13190
0.5276 Remote Similarity NPC233391
0.52 Remote Similarity NPC43842
0.5197 Remote Similarity NPC207243
0.5169 Remote Similarity NPC148965

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475403 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