Natural Product: NPC124677

Natural Product IDNPC124677
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NABPSKKFOWENEB-KUYDPMQHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL501681
PubChem CID 21626520
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 NABPSKKFOWENEB-KUYDPMQHSA-N
Standard InCHI InChI=1S/C45H72O17/c1-19-9-14-44(55-18-19)22(4)45(54)29(62-44)16-27-25-8-7-23-15-24(10-12-42(23,5)26(25)11-13-43(27,45)6)58-41-38(61-40-35(52)33(50)31(48)21(3)57-40)36(53)37(28(17-46)59-41)60-39-34(51)32(49)30(47)20(2)56-39/h7,19-22,24-41,46-54H,8-18H2,1-6H3/t19-,20+,21+,22-,24+,25-,26+,27+,28-,29+,30+,31+,32-,33-,34-,35-,36+,37-,38-,39+,40+,41-,42+,43+,44-,45-/m1/s1
SMILES OC[C@H]1O[C@@H](O[C@H]2CC[C@]3(C(=CC[C@@H]4[C@@H]3CC[C@]3([C@H]4C[C@H]4[C@]3(O)[C@H](C)[C@]3(O4)CC[C@H](CO3)C)C)C2)C)[C@@H]([C@H]([C@@H]1O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O)O)O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   884.48 Volume:   856.665
?
Van der Waals volume.
Dense:   1.032 LogP:   1.723
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.471
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.221
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   48.0
TPSA:   255.91
?
Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   9.0 Rings:   9.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.157 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.793 Fsp3:   0.956
MCE-18:   236.727
?
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:   0.807 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.234 Promiscuous compounds:   0.056

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.364 MDCK Permeability:   -5.015
Pgp-inhibitor:   0.0 Pgp-substrate:   0.924
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):   0.001
20% Bioavailability (F20%):   0.057 30% Bioavailability (F30%):   0.46
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.012
Plasma Protein Binding (PPB):   61.942% Volume Distribution (VD):   -0.39
Fu: 28.935%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.402
BSEP inhibitor:   0.116

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.99 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.079
HLM stability:   0.169
?
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):  0.26 Half-life (T1/2):  3.604

ADMET: Toxicity

hERG Blockers:  0.057 hERG Blockers (10um):  0.282
Human Hepatotoxicity (H-HT):  0.292 Drug-induced Liver Injury (DILI):  0.906
AMES Toxicity:  0.831 Rat Oral Acute Toxicity:  0.023
Maximum Recommended Daily Dose:  0.024 Skin Sensitization:  1.0
Carcinogencity:  0.016 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.093 Drug-induced Nephrotoxicity:  0.655
Genotoxicity:  0.029 RPMI-8226 Immunitoxicity:  0.458
A549 Cytotoxicity:  0.741 Hek293 Cytotoxicity:  0.681
BCF:   1.585
?
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:   3.409
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.566
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.89
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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
NPO24065 Dracaena surculosa Species Teiidae Eukaryota n.a. n.a. n.a. PMID[11000027]
NPO24065 Dracaena surculosa Species Teiidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO636 Heloniopsis orientalis Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24065 Dracaena surculosa Species Teiidae 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 = 4.2 ug.mL-1 PMID[11000027]

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 NPC124677 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
0.8421 Intermediate Similarity NPC40440
0.7879 Intermediate Similarity NPC469348
0.7677 Intermediate Similarity NPC42482
0.7426 Intermediate Similarity NPC470433
0.7426 Intermediate Similarity NPC46190
0.7426 Intermediate Similarity NPC171073
0.7282 Intermediate Similarity NPC274200
0.7212 Intermediate Similarity NPC480555
0.7212 Intermediate Similarity NPC150372
0.717 Intermediate Similarity NPC486386
0.7037 Intermediate Similarity NPC254255
0.7009 Intermediate Similarity NPC269297
0.7009 Intermediate Similarity NPC222202
0.6944 Remote Similarity NPC475333
0.6944 Remote Similarity NPC224098
0.6944 Remote Similarity NPC208383
0.6857 Remote Similarity NPC248746
0.6818 Remote Similarity NPC480554
0.6771 Remote Similarity NPC165439
0.6696 Remote Similarity NPC480553
0.6577 Remote Similarity NPC194207
0.6577 Remote Similarity NPC22779
0.6486 Remote Similarity NPC13193
0.6481 Remote Similarity NPC42171
0.6449 Remote Similarity NPC469347
0.641 Remote Similarity NPC480556
0.6356 Remote Similarity NPC224314
0.6293 Remote Similarity NPC232054
0.6168 Remote Similarity NPC113044
0.6168 Remote Similarity NPC283829
0.6168 Remote Similarity NPC161676
0.6154 Remote Similarity NPC167183
0.6147 Remote Similarity NPC602423
0.6132 Remote Similarity NPC470432
0.6132 Remote Similarity NPC230507
0.6126 Remote Similarity NPC475182
0.6117 Remote Similarity NPC474399
0.6071 Remote Similarity NPC73243
0.6071 Remote Similarity NPC244086
0.6071 Remote Similarity NPC84956
0.6053 Remote Similarity NPC32361
0.6036 Remote Similarity NPC300557
0.5981 Remote Similarity NPC94272
0.5965 Remote Similarity NPC247037
0.5812 Remote Similarity NPC249265
0.5806 Remote Similarity NPC32707
0.5766 Remote Similarity NPC197231
0.5763 Remote Similarity NPC23808
0.5763 Remote Similarity NPC87998
0.5701 Remote Similarity NPC19400
0.5667 Remote Similarity NPC308140
0.5664 Remote Similarity NPC122819
0.5664 Remote Similarity NPC477809
0.5645 Remote Similarity NPC477808
0.5586 Remote Similarity NPC14704
0.5575 Remote Similarity NPC265275
0.5545 Remote Similarity NPC485595
0.5545 Remote Similarity NPC6295
0.5508 Remote Similarity NPC309278
0.5429 Remote Similarity NPC181845
0.5398 Remote Similarity NPC19888
0.5345 Remote Similarity NPC6806
0.531 Remote Similarity NPC305423
0.5285 Remote Similarity NPC287885
0.5268 Remote Similarity NPC306991
0.5203 Remote Similarity NPC477811
0.5126 Remote Similarity NPC102016
0.5126 Remote Similarity NPC95051
0.5088 Remote Similarity NPC141433
0.5086 Remote Similarity NPC98696
0.5041 Remote Similarity NPC475550

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC124677 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
0.5664 Remote Similarity NPD8449 Approved

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