Natural Product: NPC247791

Natural Product IDNPC247791
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QSKFJIQOEAWAJW-VPTYWWQVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 QSKFJIQOEAWAJW-VPTYWWQVSA-N
Standard InCHI InChI=1S/C57H92O27/c1-21(20-74-51-43(69)41(67)38(64)32(18-58)80-51)8-11-34(61)79-31-17-30-28-10-9-26-16-27(12-14-56(26,6)29(28)13-15-57(30,7)35(31)22(2)60)78-55-50(84-53-45(71)40(66)37(63)24(4)76-53)47(73)49(33(19-59)81-55)83-54-46(72)42(68)48(25(5)77-54)82-52-44(70)39(65)36(62)23(3)75-52/h9,21,23-25,27-33,35-55,58-59,62-73H,8,10-20H2,1-7H3/t21-,23+,24+,25+,27-,28+,29+,30-,31+,32+,33+,35-,36+,37+,38+,39-,40-,41-,42+,43+,44+,45+,46+,47-,48+,49+,50+,51+,52-,53-,54-,55+,56+,57-/m1/s1
SMILES C[C@H](CCC(=O)O[C@H]1C[C@@H]2[C@H]3CC=C4C[C@@H](CC[C@]4(C)[C@H]3CC[C@@]2(C)[C@@H]1C(=O)C)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO)O1)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](C)O1)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)O)O)O)O[C@@H]1[C@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)CO[C@@H]1[C@H]([C@@H]([C@H]([C@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1208.58 Volume:   1146.846
?
Van der Waals volume.
Dense:   1.054 LogP:   0.472
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.154
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.936
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   19.0 Rigid Bonds:   52.0
TPSA:   418.89
?
Topological Polar Surface Area.
H-Bond Acceptor:   27.0
H-Bond Donor:   14.0 Rings:   9.0
Heavy Atoms:   27.0

MedChem Properties

QED Drug-Likeness Score:   0.047 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.176 Fsp3:   0.93
MCE-18:   185.455
?
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:   0.855 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.354 Promiscuous compounds:   0.183

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.233 MDCK Permeability:   -4.755
Pgp-inhibitor:   0.0 Pgp-substrate:   0.964
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):   0.079
20% Bioavailability (F20%):   0.001 30% Bioavailability (F30%):   0.979
50% Bioavailability (F50%):   0.901

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.023
Plasma Protein Binding (PPB):   47.224% Volume Distribution (VD):   -0.355
Fu: 33.665%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.01

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:   0.0 CYP3A4-substrate:   0.988
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.998
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):  -1.067 Half-life (T1/2):  4.133

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.011
Human Hepatotoxicity (H-HT):  0.515 Drug-induced Liver Injury (DILI):  0.987
AMES Toxicity:  0.594 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.006 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.136 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  0.004 RPMI-8226 Immunitoxicity:  0.493
A549 Cytotoxicity:  0.464 Hek293 Cytotoxicity:  0.089
BCF:   1.039
?
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:   3.509
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.224
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.241
?
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
NPO20097 Thermobifida alba Species Nocardiopsaceae Bacteria n.a. n.a. n.a. PMID[11430001]
NPO9419 Enterobacter cloacae Species Enterobacteriaceae Bacteria n.a. n.a. n.a. PMID[25427277]
NPO24359 Streptomyces cacaoi Species Streptomycetaceae Bacteria n.a. n.a. n.a. PMID[27642865]
NPO26245 Styracaster caroli Species Porcellanasteridae Eukaryota n.a. n.a. n.a. PMID[8145229]
NPO13147 Euphorbia cyparissias Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9419 Enterobacter cloacae Species Enterobacteriaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO20097 Thermobifida alba Species Nocardiopsaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO26245 Styracaster caroli Species Porcellanasteridae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8559 Calophyllum venulosum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11319 Laurencia hybrida Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24359 Streptomyces cacaoi Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO9419 Enterobacter cloacae Species Enterobacteriaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19605 Tara spinosa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13147 Euphorbia cyparissias Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26245 Styracaster caroli Species Porcellanasteridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24359 Streptomyces cacaoi Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO20097 Thermobifida alba Species Nocardiopsaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO8460 Pedicularis torta Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11181 Juniperus bermudiana Species Cupressaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6962 Cetraria delisei Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11319 Laurencia hybrida Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8559 Calophyllum venulosum Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10024 Tylecodon wallichii Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6054 Sinularia brongersmai Species Alcyoniidae 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

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 NPC247791 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
0.9375 High Similarity NPC475182
0.8037 Intermediate Similarity NPC23808
0.8037 Intermediate Similarity NPC87998
0.789 Intermediate Similarity NPC308140
0.75 Intermediate Similarity NPC247037
0.7477 Intermediate Similarity NPC73243
0.7477 Intermediate Similarity NPC244086
0.7477 Intermediate Similarity NPC84956
0.7207 Intermediate Similarity NPC194207
0.7207 Intermediate Similarity NPC22779
0.7182 Intermediate Similarity NPC269297
0.7182 Intermediate Similarity NPC222202
0.7143 Intermediate Similarity NPC249265
0.6909 Remote Similarity NPC480555
0.6909 Remote Similarity NPC150372
0.6897 Remote Similarity NPC232054
0.6792 Remote Similarity NPC94272
0.6667 Remote Similarity NPC224314
0.6636 Remote Similarity NPC470433
0.6636 Remote Similarity NPC46190
0.6636 Remote Similarity NPC171073
0.6609 Remote Similarity NPC254255
0.6579 Remote Similarity NPC486386
0.6545 Remote Similarity NPC98696
0.6522 Remote Similarity NPC475333
0.6522 Remote Similarity NPC224098
0.6522 Remote Similarity NPC208383
0.6441 Remote Similarity NPC480553
0.6404 Remote Similarity NPC102016
0.6404 Remote Similarity NPC95051
0.6283 Remote Similarity NPC248746
0.6271 Remote Similarity NPC480554
0.6239 Remote Similarity NPC32361
0.6182 Remote Similarity NPC306991
0.6179 Remote Similarity NPC480556
0.6154 Remote Similarity NPC165439
0.6134 Remote Similarity NPC218571
0.6134 Remote Similarity NPC487615
0.6106 Remote Similarity NPC486388
0.6102 Remote Similarity NPC309278
0.6087 Remote Similarity NPC42171
0.6048 Remote Similarity NPC248202
0.6 Remote Similarity NPC122819
0.5966 Remote Similarity NPC13193
0.5952 Remote Similarity NPC477808
0.5948 Remote Similarity NPC6806
0.5929 Remote Similarity NPC113044
0.5929 Remote Similarity NPC283829
0.5929 Remote Similarity NPC161676
0.5862 Remote Similarity NPC477809
0.5854 Remote Similarity NPC287885
0.5812 Remote Similarity NPC300557
0.5812 Remote Similarity NPC124677
0.5789 Remote Similarity NPC470748
0.5776 Remote Similarity NPC265275
0.5752 Remote Similarity NPC470432
0.5752 Remote Similarity NPC230507
0.5652 Remote Similarity NPC305423
0.5641 Remote Similarity NPC602423
0.5397 Remote Similarity NPC477811
0.5345 Remote Similarity NPC6295
0.5321 Remote Similarity NPC486114
0.5312 Remote Similarity NPC486390
0.5246 Remote Similarity NPC150057
0.5246 Remote Similarity NPC147753
0.5242 Remote Similarity NPC475550
0.5225 Remote Similarity NPC181845
0.5214 Remote Similarity NPC15249
0.5214 Remote Similarity NPC25455
0.5197 Remote Similarity NPC486384
0.5167 Remote Similarity NPC40440
0.5164 Remote Similarity NPC182900
0.5159 Remote Similarity NPC63609
0.5128 Remote Similarity NPC295980
0.5126 Remote Similarity NPC14704
0.5126 Remote Similarity NPC600116
0.5086 Remote Similarity NPC19400
0.5041 Remote Similarity NPC48886
0.5041 Remote Similarity NPC94881

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC247791 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
0.6 Remote Similarity NPD8449 Approved
0.5246 Remote Similarity NPD8450 Suspended

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