Natural Product: NPC10054

Natural Product IDNPC10054
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XTDZKFZZAQRWGE-YCQLJQLHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6325313
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 XTDZKFZZAQRWGE-YCQLJQLHSA-N
Standard InCHI InChI=1S/C53H90O21/c1-23(2)11-10-15-53(9,74-47-43(66)39(62)37(60)29(71-47)22-68-45-42(65)38(61)34(57)24(3)69-45)25-12-17-52(8)33(25)26(55)19-31-50(6)16-14-32(49(4,5)30(50)13-18-51(31,52)7)72-48-44(40(63)36(59)28(20-54)70-48)73-46-41(64)35(58)27(56)21-67-46/h11,24-48,54-66H,10,12-22H2,1-9H3/t24-,25?,26?,27+,28+,29+,30?,31?,32?,33?,34-,35-,36+,37+,38+,39-,40-,41+,42+,43+,44+,45+,46+,47-,48-,50?,51?,52?,53?/m0/s1
SMILES CC(=CCCC(C)(C1CCC2(C)C1C(CC1C3(C)CCC(C(C)(C)C3CCC21C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)O1)O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1062.6 Volume:   1038.75
?
Van der Waals volume.
Dense:   1.023 LogP:   1.878
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.738
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.721
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   45.0
TPSA:   336.83
?
Topological Polar Surface Area.
H-Bond Acceptor:   21.0
H-Bond Donor:   13.0 Rings:   8.0
Heavy Atoms:   21.0

MedChem Properties

QED Drug-Likeness Score:   0.077 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.806 Fsp3:   0.962
MCE-18:   176.25
?
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:   0.605 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.134
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.144 Promiscuous compounds:   0.036

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.157 MDCK Permeability:   -5.007
Pgp-inhibitor:   0.0 Pgp-substrate:   0.275
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):   0.035
20% Bioavailability (F20%):   0.0 30% Bioavailability (F30%):   0.3
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.926
Plasma Protein Binding (PPB):   49.601% Volume Distribution (VD):   -0.346
Fu: 28.654%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.002

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:   0.009
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.007
HLM stability:   0.094
?
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):  -0.453 Half-life (T1/2):  4.863

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.082
Human Hepatotoxicity (H-HT):  0.359 Drug-induced Liver Injury (DILI):  0.134
AMES Toxicity:  0.51 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  0.998
Carcinogencity:  0.0 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.033 Drug-induced Nephrotoxicity:  0.732
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.234
A549 Cytotoxicity:  0.209 Hek293 Cytotoxicity:  0.131
BCF:   1.976
?
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:   4.745
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.115
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.359
?
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
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota Stems n.a. n.a. PMID[20104880]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. PMID[22342101]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota aerial parts n.a. n.a. PMID[25895106]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae 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 NPC10054 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
0.9341 High Similarity NPC159005
0.913 High Similarity NPC14946
0.913 High Similarity NPC63368
0.8791 High Similarity NPC208650
0.8602 High Similarity NPC220427
0.8081 Intermediate Similarity NPC135369
0.7912 Intermediate Similarity NPC208477
0.7879 Intermediate Similarity NPC246124
0.7826 Intermediate Similarity NPC69737
0.7619 Intermediate Similarity NPC146868
0.7547 Intermediate Similarity NPC488294
0.75 Intermediate Similarity NPC488293
0.7429 Intermediate Similarity NPC241381
0.7143 Intermediate Similarity NPC488291
0.7048 Intermediate Similarity NPC6931
0.6939 Remote Similarity NPC269627
0.6848 Remote Similarity NPC31907
0.6735 Remote Similarity NPC181467
0.6729 Remote Similarity NPC180183
0.67 Remote Similarity NPC194842
0.6636 Remote Similarity NPC472718
0.6635 Remote Similarity NPC65167
0.6571 Remote Similarity NPC160816
0.6518 Remote Similarity NPC488292
0.6381 Remote Similarity NPC472988
0.6381 Remote Similarity NPC38217
0.6364 Remote Similarity NPC472716
0.6228 Remote Similarity NPC146652
0.619 Remote Similarity NPC234160
0.6132 Remote Similarity NPC208594
0.61 Remote Similarity NPC312553
0.6075 Remote Similarity NPC476360
0.6075 Remote Similarity NPC476361
0.6019 Remote Similarity NPC131479
0.596 Remote Similarity NPC157659
0.5941 Remote Similarity NPC8039
0.5941 Remote Similarity NPC120123
0.5905 Remote Similarity NPC152584
0.5865 Remote Similarity NPC213190
0.5833 Remote Similarity NPC66654
0.5755 Remote Similarity NPC127801
0.5743 Remote Similarity NPC159036
0.569 Remote Similarity NPC610948
0.5429 Remote Similarity NPC472987
0.541 Remote Similarity NPC606950
0.5385 Remote Similarity NPC472897
0.5385 Remote Similarity NPC472896
0.5351 Remote Similarity NPC305418
0.5345 Remote Similarity NPC607354
0.5278 Remote Similarity NPC207845
0.5259 Remote Similarity NPC148603
0.5229 Remote Similarity NPC472719
0.5182 Remote Similarity NPC472715
0.5167 Remote Similarity NPC481079
0.5149 Remote Similarity NPC234287
0.5146 Remote Similarity NPC160734
0.514 Remote Similarity NPC16573
0.5135 Remote Similarity NPC210759
0.5124 Remote Similarity NPC609433
0.507 Remote Similarity NPC329893
0.5048 Remote Similarity NPC114874
0.5043 Remote Similarity NPC323231

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC10054 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