Natural Product: NPC506622

Natural Product IDNPC506622
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S})-5,7-dihydroxy-2-[4-[(2~{S},3~{R},4~{R},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxyphenyl]chroman-4-one
IUPAC Name (2~{S})-5,7-dihydroxy-2-[4-[(2~{S},3~{R},4~{R},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxyphenyl]chroman-4-one
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 RJPMXEPQESULBJ-SZQZVTPPSA-N
Standard InCHI InChI=1S/C27H32O14/c1-10-20(31)22(33)24(35)26(38-10)37-9-18-21(32)23(34)25(36)27(41-18)39-13-4-2-11(3-5-13)16-8-15(30)19-14(29)6-12(28)7-17(19)40-16/h2-7,10,16,18,20-29,31-36H,8-9H2,1H3/t10-,16+,18-,20+,21-,22+,23-,24+,25-,26-,27-/m1/s1
SMILES C[C@H]1O[C@@H](OC[C@H]2O[C@@H](OC3=CC=C([C@@H]4CC(=O)C5=C(O)C=C(O)C=C5O4)C=C3)[C@H](O)[C@H](O)[C@@H]2O)[C@@H](O)[C@@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   580.18 Volume:   537.374
?
Van der Waals volume.
Dense:   1.08 LogP:   0.508
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.937
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.533
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   30.0
TPSA:   225.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.202 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.724 Fsp3:   0.519
MCE-18:   118.317
?
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:   0.56 Fluc inhibitor:   0.559
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.086
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.275
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.128 Promiscuous compounds:   0.279

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.598 MDCK Permeability:   -5.194
Pgp-inhibitor:   0.0 Pgp-substrate:   0.905
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):   0.017
20% Bioavailability (F20%):   0.041 30% Bioavailability (F30%):   0.758
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.176
Plasma Protein Binding (PPB):   87.188% Volume Distribution (VD):   -0.2
Fu: 12.671%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.817
OATP1B3 inhibitor:   0.974 BCRP inhibitor:   0.146
BSEP inhibitor:   0.45

ADMET: Metabolism

CYP1A2-inhibitor:   0.017 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.008
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.002
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.139
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.962
HLM stability:   0.914
?
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):  1.331 Half-life (T1/2):  4.279

ADMET: Toxicity

hERG Blockers:  0.048 hERG Blockers (10um):  0.441
Human Hepatotoxicity (H-HT):  0.566 Drug-induced Liver Injury (DILI):  0.862
AMES Toxicity:  0.9 Rat Oral Acute Toxicity:  0.235
Maximum Recommended Daily Dose:  0.287 Skin Sensitization:  0.953
Carcinogencity:  0.034 Eye Corrosion:  0.0
Eye Irritation:  0.409 Respiratory Toxicity:  0.306
Drug-induced Neurotoxicity:  0.018 Ototoxicity:  0.969
Hematotoxicity:  0.283 Drug-induced Nephrotoxicity:  0.915
Genotoxicity:  0.87 RPMI-8226 Immunitoxicity:  0.416
A549 Cytotoxicity:  0.879 Hek293 Cytotoxicity:  0.586
BCF:   0.484
?
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:   3.214
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.902
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.982
?
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
NPO56985 Bauhinia variegata Species Fabaceae 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

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 NPC506622 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
0.7778 Intermediate Similarity NPC271270
0.7294 Intermediate Similarity NPC44328
0.7294 Intermediate Similarity NPC79056
0.7209 Intermediate Similarity NPC293629
0.7176 Intermediate Similarity NPC43587
0.7051 Intermediate Similarity NPC26195
0.5806 Remote Similarity NPC190450
0.5465 Remote Similarity NPC219163
0.5426 Remote Similarity NPC97285
0.5349 Remote Similarity NPC170475
0.5347 Remote Similarity NPC210808
0.5333 Remote Similarity NPC274784
0.5333 Remote Similarity NPC20709
0.5287 Remote Similarity NPC39351
0.5263 Remote Similarity NPC142860
0.5263 Remote Similarity NPC152538
0.5263 Remote Similarity NPC246469
0.5263 Remote Similarity NPC89088
0.5244 Remote Similarity NPC469622
0.5238 Remote Similarity NPC479450
0.5172 Remote Similarity NPC97052
0.5116 Remote Similarity NPC153342
0.5104 Remote Similarity NPC472876
0.51 Remote Similarity NPC67134
0.5062 Remote Similarity NPC79908
0.5057 Remote Similarity NPC270578
0.5057 Remote Similarity NPC52382
0.5056 Remote Similarity NPC40664
0.5056 Remote Similarity NPC197723
0.5052 Remote Similarity NPC241016
0.5051 Remote Similarity NPC168789

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC506622 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
0.7294 Intermediate Similarity NPD7074 Phase 3

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