Natural Product: NPC551670

Natural Product IDNPC551670
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{R},3~{R})-2-[3-[5-[(3~{S},3~{a}~{R},6~{S},6~{a}~{R})-3-(4-hydroxy-3-methoxy-phenyl)-1,3,3~{a},4,6,6~{a}-hexahydrofuro[3,4-c]furan-6-yl]-2-hydroxy-3-methoxy-phenyl]-4,5-dihydroxy-phenyl]-3,5,7-trihydroxy-chroman-4-one
IUPAC Name (2~{R},3~{R})-2-[3-[5-[(3~{S},3~{a}~{R},6~{S},6~{a}~{R})-3-(4-hydroxy-3-methoxy-phenyl)-1,3,3~{a},4,6,6~{a}-hexahydrofuro[3,4-c]furan-6-yl]-2-hydroxy-3-methoxy-phenyl]-4,5-dihydroxy-phenyl]-3,5,7-trihydroxy-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 TXOKTGDAECRVPW-WEKAZSQWSA-N
Standard InCHI InChI=1S/C35H32O13/c1-44-25-8-14(3-4-22(25)37)33-20-12-47-34(21(20)13-46-33)16-6-19(30(41)27(9-16)45-2)18-5-15(7-24(39)29(18)40)35-32(43)31(42)28-23(38)10-17(36)11-26(28)48-35/h3-11,20-21,32-41,43H,12-13H2,1-2H3/t20-,21-,32-,33+,34+,35+/m0/s1
SMILES COC1=CC([C@H]2OC[C@H]3[C@@H]2CO[C@@H]3C2=CC(OC)=C(O)C(C3=CC([C@H]4OC5=CC(O)=CC(O)=C5C(=O)[C@@H]4O)=CC(O)=C3O)=C2)=CC=C1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   660.18 Volume:   634.02
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Van der Waals volume.
Dense:   1.041 LogP:   1.318
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.546
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.674
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   39.0
TPSA:   204.83
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   7.0 Rings:   7.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.144 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.825 Fsp3:   0.286
MCE-18:   144.289
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.843 Fluc inhibitor:   0.324
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.421
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.639
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.27 Promiscuous compounds:   0.237

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.301 MDCK Permeability:   -5.415
Pgp-inhibitor:   0.057 Pgp-substrate:   0.051
PAMPA:   0.068
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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):   0.001
20% Bioavailability (F20%):   0.022 30% Bioavailability (F30%):   0.931
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.982
Plasma Protein Binding (PPB):   95.61% Volume Distribution (VD):   -0.061
Fu: 4.14%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.959
BSEP inhibitor:   0.194

ADMET: Metabolism

CYP1A2-inhibitor:   0.848 CYP1A2-substrate:   0.011
CYP2C19-inhibitor:   0.01 CYP2C19-substrate:   0.011
CYP2C9-inhibitor:   0.006 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.721 CYP2D6-substrate:   0.984
CYP3A4-inhibitor:   0.7 CYP3A4-substrate:   0.906
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.996
HLM stability:   0.803
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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):  6.438 Half-life (T1/2):  3.263

ADMET: Toxicity

hERG Blockers:  0.1 hERG Blockers (10um):  0.461
Human Hepatotoxicity (H-HT):  0.973 Drug-induced Liver Injury (DILI):  0.986
AMES Toxicity:  0.84 Rat Oral Acute Toxicity:  0.764
Maximum Recommended Daily Dose:  0.934 Skin Sensitization:  0.993
Carcinogencity:  0.269 Eye Corrosion:  0.0
Eye Irritation:  0.569 Respiratory Toxicity:  0.615
Drug-induced Neurotoxicity:  0.136 Ototoxicity:  0.673
Hematotoxicity:  0.441 Drug-induced Nephrotoxicity:  0.948
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.576
A549 Cytotoxicity:  0.993 Hek293 Cytotoxicity:  0.946
BCF:   1.18
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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:   4.081
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.15
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.607
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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
NPO20918 Pseudotsuga menziesii Species Pinaceae Eukaryota n.a. n.a. n.a. PMID[34216094]
NPO20918 Pseudotsuga menziesii Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20918 Pseudotsuga menziesii Species Pinaceae 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 NPC551670 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
0.6154 Remote Similarity NPC326037
0.6154 Remote Similarity NPC13858
0.5844 Remote Similarity NPC36835
0.5844 Remote Similarity NPC246162
0.5844 Remote Similarity NPC9743
0.5844 Remote Similarity NPC260491
0.5844 Remote Similarity NPC61506
0.5844 Remote Similarity NPC240476
0.5435 Remote Similarity NPC138688
0.5435 Remote Similarity NPC72787
0.5435 Remote Similarity NPC217795
0.5435 Remote Similarity NPC58223
0.5326 Remote Similarity NPC36916
0.5326 Remote Similarity NPC36
0.5326 Remote Similarity NPC7154
0.5326 Remote Similarity NPC125039
0.5326 Remote Similarity NPC7688
0.5309 Remote Similarity NPC320825
0.5275 Remote Similarity NPC606364
0.5213 Remote Similarity NPC279209
0.5213 Remote Similarity NPC102277
0.5213 Remote Similarity NPC479117

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC551670 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
0.5326 Remote Similarity NPD6166 Phase 2
0.5326 Remote Similarity NPD6167 Clinical (unspecified phase)
0.5326 Remote Similarity NPD6168 Clinical (unspecified phase)

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