Natural Product: NPC478152

Natural Product IDNPC478152
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
xanifolia-Y3
IUPAC Name (2S,3S,4S,5R,6R)-6-[[(3S,4S,4aS,6aR,6bS,7R,8S,8aR,9R,10R,12aS,14aR,14bS)-7,8-dihydroxy-8a-(hydroxymethyl)-4,6a,6b,11,11,14b-hexamethyl-9,10-bis[[(Z)-2-methylbut-2-enoyl]oxy]-2,3,4,4a,5,6,7,8,9,10,12,12a,14,14a-tetradecahydro-1H-picen-3-yl]oxy]-4-[(2S,3R,4R,5S)-3,4-dihydroxy-5-(hydroxymethyl)oxolan-2-yl]oxy-3-hydroxy-5-[(2S,3R,4S,5R,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxane-2-carboxylic acid
Synonyms xanifolia-Y3
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44560534
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 RIHFRRZHVHNGFQ-PTEMOXQYSA-N
Standard InCHI InChI=1S/C56H86O23/c1-11-23(3)47(70)78-44-45(79-48(71)24(4)12-2)56(22-59)28(19-52(44,6)7)27-13-14-32-53(8)17-16-29(25(5)26(53)15-18-54(32,9)55(27,10)42(66)43(56)67)72-51-41(77-50-37(64)35(62)33(60)30(20-57)73-50)39(38(65)40(76-51)46(68)69)75-49-36(63)34(61)31(21-58)74-49/h11-13,25-26,28-45,49-51,57-67H,14-22H2,1-10H3,(H,68,69)/b23-11-,24-12-/t25-,26-,28-,29-,30+,31-,32+,33-,34-,35-,36+,37+,38-,39-,40-,41+,42-,43+,44-,45-,49-,50-,51+,53-,54+,55-,56-/m0/s1
SMILES C/C=C(/C)\C(=O)O[C@H]1[C@@H](C(C[C@@H]2[C@]1([C@@H]([C@@H]([C@@]3(C2=CC[C@H]4[C@]3(CC[C@@H]5[C@@]4(CC[C@@H]([C@H]5C)O[C@H]6[C@@H]([C@H]([C@@H]([C@H](O6)C(=O)O)O)O[C@H]7[C@@H]([C@H]([C@@H](O7)CO)O)O)O[C@H]8[C@@H]([C@H]([C@H]([C@H](O8)CO)O)O)O)C)C)C)O)O)CO)(C)C)OC(=O)/C(=C\C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1126.56 Volume:   1095.036
?
Van der Waals volume.
Dense:   1.029 LogP:   1.023
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.122
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.235
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   48.0
TPSA:   367.81
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   12.0 Rings:   8.0
Heavy Atoms:   23.0

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:   7.087 Fsp3:   0.839
MCE-18:   180.893
?
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:   0.727 Fluc inhibitor:   0.009
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.0
?
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:   0.254 Promiscuous compounds:   0.271

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.339 MDCK Permeability:   -5.173
Pgp-inhibitor:   0.0 Pgp-substrate:   0.048
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):   0.26
20% Bioavailability (F20%):   0.984 30% Bioavailability (F30%):   0.993
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.952
Plasma Protein Binding (PPB):   76.954% Volume Distribution (VD):   -0.487
Fu: 14.033%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.044 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

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:   0.171 CYP3A4-substrate:   0.372
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.054
HLM stability:   0.017
?
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):  0.058 Half-life (T1/2):  2.529

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.531 Drug-induced Liver Injury (DILI):  0.98
AMES Toxicity:  0.982 Rat Oral Acute Toxicity:  0.019
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.252 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.012
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.997
Hematotoxicity:  0.971 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.951 RPMI-8226 Immunitoxicity:  0.252
A549 Cytotoxicity:  0.993 Hek293 Cytotoxicity:  0.663
BCF:   0.329
?
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:   3.404
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.448
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.164
?
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
NPO30992 Xanthoceras sorbifolia Species Sapindaceae Eukaryota wood n.a. n.a. PMID[10691716]
NPO30992 Xanthoceras sorbifolia Species Sapindaceae Eukaryota husks Inner Mongolia, China 2004-SEP PMID[18549275]
NPO30992 Xanthoceras sorbifolia Species Sapindaceae Eukaryota n.a. n.a. n.a. PMID[22801644]
NPO30992 Xanthoceras sorbifolia Species Sapindaceae Eukaryota leaves n.a. n.a. PMID[23313635]
NPO30992 Xanthoceras sorbifolia Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT377 Cell line OVCAR-3 Homo sapiens IC50 = 4000 nM PMID[18549275]

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 NPC478152 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
0.9604 High Similarity NPC478150
0.8491 Intermediate Similarity NPC478155
0.8286 Intermediate Similarity NPC329976
0.8131 Intermediate Similarity NPC478151
0.7521 Intermediate Similarity NPC478153
0.7241 Intermediate Similarity NPC46823
0.7179 Intermediate Similarity NPC192765
0.7119 Intermediate Similarity NPC178264
0.7018 Intermediate Similarity NPC25998
0.693 Remote Similarity NPC605294
0.6897 Remote Similarity NPC478154
0.6612 Remote Similarity NPC329828
0.6532 Remote Similarity NPC484833
0.6529 Remote Similarity NPC473918
0.6446 Remote Similarity NPC602995
0.626 Remote Similarity NPC277212
0.626 Remote Similarity NPC30279
0.624 Remote Similarity NPC476780
0.621 Remote Similarity NPC71391
0.6186 Remote Similarity NPC477077
0.6161 Remote Similarity NPC603026
0.6116 Remote Similarity NPC609119
0.6066 Remote Similarity NPC478600
0.6066 Remote Similarity NPC478599
0.6063 Remote Similarity NPC271610
0.6017 Remote Similarity NPC470914
0.5969 Remote Similarity NPC476777
0.5847 Remote Similarity NPC470913
0.582 Remote Similarity NPC477197
0.5814 Remote Similarity NPC262796
0.5814 Remote Similarity NPC45346
0.5781 Remote Similarity NPC478598
0.5725 Remote Similarity NPC475377
0.5725 Remote Similarity NPC476074
0.5581 Remote Similarity NPC329923
0.5581 Remote Similarity NPC475281
0.5528 Remote Similarity NPC477078
0.552 Remote Similarity NPC107536
0.552 Remote Similarity NPC280029
0.552 Remote Similarity NPC9470
0.5504 Remote Similarity NPC47995
0.5496 Remote Similarity NPC488308
0.5496 Remote Similarity NPC476774
0.5481 Remote Similarity NPC329960
0.5455 Remote Similarity NPC225791
0.5455 Remote Similarity NPC312650
0.5414 Remote Similarity NPC484059
0.5414 Remote Similarity NPC484060
0.5396 Remote Similarity NPC150893
0.5379 Remote Similarity NPC265841
0.5373 Remote Similarity NPC110700
0.5373 Remote Similarity NPC329657
0.5344 Remote Similarity NPC82380
0.5344 Remote Similarity NPC244296
0.5333 Remote Similarity NPC605226
0.5323 Remote Similarity NPC477076
0.5303 Remote Similarity NPC484061
0.5303 Remote Similarity NPC484062
0.5299 Remote Similarity NPC476779
0.5294 Remote Similarity NPC476775
0.5255 Remote Similarity NPC488309
0.5191 Remote Similarity NPC264566
0.5188 Remote Similarity NPC470518
0.5143 Remote Similarity NPC475263
0.5122 Remote Similarity NPC475591
0.5122 Remote Similarity NPC236870
0.5113 Remote Similarity NPC475167
0.5079 Remote Similarity NPC477191
0.5078 Remote Similarity NPC606553
0.5075 Remote Similarity NPC134914
0.5075 Remote Similarity NPC473755
0.5041 Remote Similarity NPC44716
0.5041 Remote Similarity NPC22956

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC478152 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