Natural Product: NPC483170

Natural Product IDNPC483170
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YKPGCKJGLDGPLP-AQGICELVSA-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]

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 YKPGCKJGLDGPLP-AQGICELVSA-N
Standard InCHI InChI=1S/C63H110O24/c1-10-13-15-16-17-18-21-24-28-32-41(64)81-55-50(73)52(84-59-48(71)45(68)43(66)35(5)75-59)38(8)78-62(55)85-53-39(9)79-63-57(56(53)87-60-49(72)47(70)51(37(7)77-60)83-58(74)34(4)12-3)82-42(65)33-29-25-22-19-20-23-27-31-40(30-26-14-11-2)80-61-54(86-63)46(69)44(67)36(6)76-61/h34-40,43-57,59-63,66-73H,10-33H2,1-9H3/t34-,35-,36+,37-,38-,39-,40+,43-,44-,45+,46-,47-,48+,49+,50+,51-,52-,53-,54+,55+,56+,57+,59-,60-,61-,62-,63-/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]2[C@@H]([C@@H]1O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)OC(=O)[C@@H](C)CC)O)O)OC(=O)CCCCCCCCC[C@@H](CCCCC)O[C@H]1[C@@H]([C@H]([C@H]([C@@H](C)O1)O)O)O2)O[C@H]1[C@@H]([C@@H]([C@H]([C@H](C)O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1250.74 Volume:   1249.921
?
Van der Waals volume.
Dense:   1.001 LogP:   5.733
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.942
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.451
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   26.0 Rigid Bonds:   49.0
TPSA:   333.04
?
Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.034 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.357 Fsp3:   0.952
MCE-18:   123.317
?
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:   0.999 Fluc inhibitor:   0.333
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.556 Promiscuous compounds:   0.062

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.52 MDCK Permeability:   -4.974
Pgp-inhibitor:   0.0 Pgp-substrate:   0.974
PAMPA:   0.997
?
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):   0.002
20% Bioavailability (F20%):   0.005 30% Bioavailability (F30%):   0.38
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.993
Plasma Protein Binding (PPB):   94.545% Volume Distribution (VD):   0.01
Fu: 4.391%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.208

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:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.32
?
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):  0.68 Half-life (T1/2):  3.265

ADMET: Toxicity

hERG Blockers:  0.074 hERG Blockers (10um):  0.401
Human Hepatotoxicity (H-HT):  0.291 Drug-induced Liver Injury (DILI):  0.957
AMES Toxicity:  0.27 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.0 Eye Corrosion:  0.0
Eye Irritation:  0.005 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.579 Drug-induced Nephrotoxicity:  0.899
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.621
A549 Cytotoxicity:  0.993 Hek293 Cytotoxicity:  0.342
BCF:   1.306
?
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:   4.973
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.201
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.346
?
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
NPT111 Cell line K562 Homo sapiens IC50 = 18300.0 nM PMID[31017778]
NPT111 Cell line K562 Homo sapiens Activity = 47.0 % PMID[31017778]
NPT111 Cell line K562 Homo sapiens IC50 = 8500.0 nM PMID[31017778]

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 NPC483170 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
0.9359 High Similarity NPC119583
0.9125 High Similarity NPC115013
0.8718 High Similarity NPC89843
0.8554 High Similarity NPC184915
0.8554 High Similarity NPC224953
0.8434 Intermediate Similarity NPC169345
0.8415 Intermediate Similarity NPC307400
0.8415 Intermediate Similarity NPC27289
0.8353 Intermediate Similarity NPC44782
0.8193 Intermediate Similarity NPC143421
0.8072 Intermediate Similarity NPC477319
0.8023 Intermediate Similarity NPC123204
0.8 Intermediate Similarity NPC290012
0.8 Intermediate Similarity NPC477317
0.8 Intermediate Similarity NPC477318
0.7831 Intermediate Similarity NPC109887
0.7738 Intermediate Similarity NPC267592
0.7711 Intermediate Similarity NPC477344
0.7701 Intermediate Similarity NPC183888
0.7701 Intermediate Similarity NPC259294
0.759 Intermediate Similarity NPC478734
0.7561 Intermediate Similarity NPC113745
0.7561 Intermediate Similarity NPC477320
0.7561 Intermediate Similarity NPC477323
0.7561 Intermediate Similarity NPC477325
0.7561 Intermediate Similarity NPC609436
0.75 Intermediate Similarity NPC126685
0.7416 Intermediate Similarity NPC472200
0.7412 Intermediate Similarity NPC478733
0.7349 Intermediate Similarity NPC22742
0.7349 Intermediate Similarity NPC477346
0.7342 Intermediate Similarity NPC606819
0.7317 Intermediate Similarity NPC281563
0.7241 Intermediate Similarity NPC297768
0.7176 Intermediate Similarity NPC477331
0.7159 Intermediate Similarity NPC472204
0.7143 Intermediate Similarity NPC10883
0.7126 Intermediate Similarity NPC146992
0.7126 Intermediate Similarity NPC85759
0.7079 Intermediate Similarity NPC476087
0.7079 Intermediate Similarity NPC475667
0.7073 Intermediate Similarity NPC146380
0.7 Intermediate Similarity NPC478732
0.697 Remote Similarity NPC10121
0.697 Remote Similarity NPC198918
0.697 Remote Similarity NPC290276
0.6966 Remote Similarity NPC294748
0.6957 Remote Similarity NPC269318
0.6923 Remote Similarity NPC475270
0.6923 Remote Similarity NPC475327
0.6897 Remote Similarity NPC477326
0.6897 Remote Similarity NPC600446
0.6897 Remote Similarity NPC605013
0.6889 Remote Similarity NPC238264
0.6889 Remote Similarity NPC477345
0.6854 Remote Similarity NPC173328
0.6842 Remote Similarity NPC475241
0.6813 Remote Similarity NPC238056
0.6747 Remote Similarity NPC477350
0.6705 Remote Similarity NPC158302
0.6667 Remote Similarity NPC472205
0.6667 Remote Similarity NPC604005
0.6667 Remote Similarity NPC605014
0.6593 Remote Similarity NPC186992
0.6526 Remote Similarity NPC475164
0.6522 Remote Similarity NPC478726
0.6506 Remote Similarity NPC478729
0.6489 Remote Similarity NPC163409
0.6486 Remote Similarity NPC147032
0.6452 Remote Similarity NPC478731
0.6413 Remote Similarity NPC478730
0.6404 Remote Similarity NPC477332
0.64 Remote Similarity NPC35338
0.64 Remote Similarity NPC204214
0.64 Remote Similarity NPC92283
0.6374 Remote Similarity NPC479061
0.6337 Remote Similarity NPC28069
0.6322 Remote Similarity NPC477329
0.6311 Remote Similarity NPC611287
0.6304 Remote Similarity NPC479060
0.6289 Remote Similarity NPC473605
0.6289 Remote Similarity NPC475375
0.6238 Remote Similarity NPC63404
0.6207 Remote Similarity NPC477328
0.6207 Remote Similarity NPC477330
0.6196 Remote Similarity NPC478722
0.6196 Remote Similarity NPC60849
0.6186 Remote Similarity NPC478728
0.618 Remote Similarity NPC477349
0.6176 Remote Similarity NPC77651
0.6154 Remote Similarity NPC479059
0.6129 Remote Similarity NPC478724
0.6122 Remote Similarity NPC478727
0.6095 Remote Similarity NPC600672
0.6095 Remote Similarity NPC610996
0.6022 Remote Similarity NPC478725
0.6019 Remote Similarity NPC600940
0.6 Remote Similarity NPC471024
0.598 Remote Similarity NPC124878
0.598 Remote Similarity NPC231888
0.5979 Remote Similarity NPC475525
0.5979 Remote Similarity NPC475540
0.5963 Remote Similarity NPC472352
0.5957 Remote Similarity NPC478723
0.5918 Remote Similarity NPC476066
0.5918 Remote Similarity NPC477347
0.5789 Remote Similarity NPC479058
0.5743 Remote Similarity NPC477348
0.5727 Remote Similarity NPC610997
0.5714 Remote Similarity NPC479057
0.5688 Remote Similarity NPC600721
0.5688 Remote Similarity NPC605872
0.5676 Remote Similarity NPC471026
0.5612 Remote Similarity NPC162925
0.5596 Remote Similarity NPC471025
0.5306 Remote Similarity NPC44682
0.5217 Remote Similarity NPC475425
0.5158 Remote Similarity NPC87153

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC483170 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