Natural Product: NPC281563

Natural Product IDNPC281563
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Pescaproside A
IUPAC Name methyl (11S)-11-[(2R,3R,4S,5R,6R)-3-[(2S,3R,4S,5R,6S)-5-[(2S,3R,4R,5S,6S)-3-dodecanoyloxy-6-methyl-4,5-bis[[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy]oxan-2-yl]oxy-3,4-dihydroxy-6-methyloxan-2-yl]oxy-4,5-dihydroxy-6-methyloxan-2-yl]oxyhexadecanoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL510033
PubChem CID 21575465
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

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 MHVINGJQHVKKSE-RVBJTDSWSA-N
Standard InCHI InChI=1S/C59H106O24/c1-9-11-13-14-15-16-19-23-27-31-39(61)79-54-53(83-56-48(70)44(66)41(63)33(4)74-56)51(81-55-47(69)43(65)40(62)32(3)73-55)36(7)77-59(54)80-50-35(6)76-57(49(71)46(50)68)82-52-45(67)42(64)34(5)75-58(52)78-37(28-24-12-10-2)29-25-21-18-17-20-22-26-30-38(60)72-8/h32-37,40-59,62-71H,9-31H2,1-8H3/t32-,33-,34+,35-,36-,37-,40-,41-,42-,43+,44+,45-,46-,47+,48+,49+,50-,51-,52+,53+,54+,55-,56-,57-,58-,59-/m0/s1
SMILES CCCCCCCCCCCC(=O)O[C@@H]1[C@@H]([C@H]([C@H](C)O[C@H]1O[C@H]1[C@H](C)O[C@H]([C@@H]([C@@H]1O)O)O[C@@H]1[C@H]([C@H]([C@@H](C)O[C@H]1O[C@@H](CCCCC)CCCCCCCCCC(=O)OC)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1198.71 Volume:   1191.93
?
Van der Waals volume.
Dense:   1.006 LogP:   4.294
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.655
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.166
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   37.0 Rigid Bonds:   32.0
TPSA:   347.2
?
Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   10.0 Rings:   5.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.032 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.413 Fsp3:   0.966
MCE-18:   104.534
?
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:   0.98 Fluc inhibitor:   0.334
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.5 Promiscuous compounds:   0.023

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.434 MDCK Permeability:   -5.011
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
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):   0.988
20% Bioavailability (F20%):   0.982 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   93.215% Volume Distribution (VD):   -0.228
Fu: 5.652%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.939
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.006

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.003
?
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):  1.127 Half-life (T1/2):  2.979

ADMET: Toxicity

hERG Blockers:  0.103 hERG Blockers (10um):  0.636
Human Hepatotoxicity (H-HT):  0.073 Drug-induced Liver Injury (DILI):  0.735
AMES Toxicity:  0.498 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.0 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.346 Drug-induced Nephrotoxicity:  0.804
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.359
A549 Cytotoxicity:  0.957 Hek293 Cytotoxicity:  0.164
BCF:   1.838
?
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:   6.036
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.953
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.067
?
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
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota n.a. n.a. n.a. PMID[15730248]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota Leaves Khon Kaen, Thailand 2002-APR PMID[15921434]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota n.a. n.a. n.a. PMID[19061389]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota ground entire plants Hainan Province, China 2004-APR PMID[19061389]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota n.a. aerial part n.a. PMID[21338052]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota n.a. n.a. n.a. PMID[31017778]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23352 Ipomoea pes-caprae Species Convolvulaceae 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 5.0 ug ml-1 PMID[15730248]

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 NPC281563 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
0.9296 High Similarity NPC600446
0.9296 High Similarity NPC605013
0.8356 Intermediate Similarity NPC113745
0.8356 Intermediate Similarity NPC477320
0.8356 Intermediate Similarity NPC477323
0.8356 Intermediate Similarity NPC477325
0.8356 Intermediate Similarity NPC609436
0.8056 Intermediate Similarity NPC146380
0.7887 Intermediate Similarity NPC606819
0.7821 Intermediate Similarity NPC267592
0.7625 Intermediate Similarity NPC307400
0.7625 Intermediate Similarity NPC27289
0.7564 Intermediate Similarity NPC477326
0.7532 Intermediate Similarity NPC604005
0.7532 Intermediate Similarity NPC605014
0.75 Intermediate Similarity NPC477319
0.7468 Intermediate Similarity NPC109887
0.7432 Intermediate Similarity NPC477350
0.7407 Intermediate Similarity NPC143421
0.7407 Intermediate Similarity NPC119583
0.7317 Intermediate Similarity NPC483170
0.7262 Intermediate Similarity NPC123204
0.7229 Intermediate Similarity NPC290012
0.7229 Intermediate Similarity NPC115013
0.7215 Intermediate Similarity NPC89843
0.6941 Remote Similarity NPC183888
0.6941 Remote Similarity NPC259294
0.6824 Remote Similarity NPC169345
0.6786 Remote Similarity NPC472204
0.675 Remote Similarity NPC22742
0.675 Remote Similarity NPC477349
0.675 Remote Similarity NPC477346
0.6744 Remote Similarity NPC184915
0.6744 Remote Similarity NPC224953
0.6744 Remote Similarity NPC126685
0.6707 Remote Similarity NPC477344
0.6667 Remote Similarity NPC472205
0.6628 Remote Similarity NPC477317
0.6628 Remote Similarity NPC477318
0.6591 Remote Similarity NPC44782
0.6585 Remote Similarity NPC478734
0.6494 Remote Similarity NPC478729
0.6429 Remote Similarity NPC478733
0.6353 Remote Similarity NPC146992
0.6353 Remote Similarity NPC85759
0.6296 Remote Similarity NPC477329
0.6279 Remote Similarity NPC297768
0.6279 Remote Similarity NPC173328
0.6277 Remote Similarity NPC124878
0.6277 Remote Similarity NPC231888
0.625 Remote Similarity NPC478731
0.6211 Remote Similarity NPC35338
0.6211 Remote Similarity NPC204214
0.6211 Remote Similarity NPC92283
0.6207 Remote Similarity NPC294748
0.6207 Remote Similarity NPC478730
0.6207 Remote Similarity NPC186992
0.6173 Remote Similarity NPC477328
0.6173 Remote Similarity NPC477330
0.6136 Remote Similarity NPC238264
0.6136 Remote Similarity NPC476087
0.6136 Remote Similarity NPC475667
0.6136 Remote Similarity NPC477345
0.6122 Remote Similarity NPC10121
0.6122 Remote Similarity NPC198918
0.6122 Remote Similarity NPC10883
0.6118 Remote Similarity NPC158302
0.6111 Remote Similarity NPC163409
0.6067 Remote Similarity NPC238056
0.6067 Remote Similarity NPC478732
0.6042 Remote Similarity NPC63404
0.6 Remote Similarity NPC475270
0.6 Remote Similarity NPC475327
0.5979 Remote Similarity NPC28069
0.5979 Remote Similarity NPC77651
0.5934 Remote Similarity NPC472200
0.5934 Remote Similarity NPC475525
0.5934 Remote Similarity NPC475540
0.593 Remote Similarity NPC479059
0.587 Remote Similarity NPC476066
0.5814 Remote Similarity NPC477331
0.5814 Remote Similarity NPC477332
0.5806 Remote Similarity NPC475164
0.5745 Remote Similarity NPC473605
0.5745 Remote Similarity NPC475375
0.5686 Remote Similarity NPC471025
0.5663 Remote Similarity NPC475425
0.5644 Remote Similarity NPC290276
0.5638 Remote Similarity NPC478728
0.5625 Remote Similarity NPC475241
0.5618 Remote Similarity NPC479061
0.5586 Remote Similarity NPC147032
0.5579 Remote Similarity NPC478727
0.5556 Remote Similarity NPC479058
0.5556 Remote Similarity NPC478724
0.5556 Remote Similarity NPC479060
0.5532 Remote Similarity NPC269318
0.5444 Remote Similarity NPC478722
0.5444 Remote Similarity NPC60849
0.5444 Remote Similarity NPC478725
0.5385 Remote Similarity NPC478723
0.5385 Remote Similarity NPC44682
0.537 Remote Similarity NPC471024
0.5327 Remote Similarity NPC471026
0.5269 Remote Similarity NPC478726
0.5185 Remote Similarity NPC472352
0.5181 Remote Similarity NPC169085
0.5135 Remote Similarity NPC206823

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC281563 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