Natural Product: NPC283806

Natural Product IDNPC283806
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DXMITXYQZDSXOV-AXCBIKAISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101682248
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins

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 DXMITXYQZDSXOV-AXCBIKAISA-N
Standard InCHI InChI=1S/C28H26O18/c1-42-28-22(38)24(46-27(41)11-6-16(33)21(37)17(34)7-11)23(45-26(40)10-4-14(31)20(36)15(32)5-10)18(44-28)8-43-25(39)9-2-12(29)19(35)13(30)3-9/h2-7,18,22-24,28-38H,8H2,1H3/t18-,22-,23-,24-,28+/m1/s1
SMILES CO[C@@H]1[C@@H]([C@H]([C@@H]([C@@H](COC(=O)c2cc(c(c(c2)O)O)O)O1)OC(=O)c1cc(c(c(c1)O)O)O)OC(=O)c1cc(c(c(c1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   650.11 Volume:   585.205
?
Van der Waals volume.
Dense:   1.111 LogP:   0.703
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.779
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.668
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   27.0
TPSA:   299.66
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   10.0 Rings:   4.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.089 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.381 Fsp3:   0.25
MCE-18:   105.143
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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:   0.896 Fluc inhibitor:   0.144
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.277
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.611
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.519 Promiscuous compounds:   0.981

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.789 MDCK Permeability:   -5.04
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.998
?
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):   0.0
20% Bioavailability (F20%):   0.994 30% Bioavailability (F30%):   0.989
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   61.31% Volume Distribution (VD):   -0.135
Fu: 28.503%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.795
OATP1B3 inhibitor:   0.964 BCRP inhibitor:   0.863
BSEP inhibitor:   0.026

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.017
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.576
?
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):  6.152 Half-life (T1/2):  2.926

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.986
Human Hepatotoxicity (H-HT):  0.014 Drug-induced Liver Injury (DILI):  0.979
AMES Toxicity:  0.819 Rat Oral Acute Toxicity:  0.046
Maximum Recommended Daily Dose:  0.759 Skin Sensitization:  1.0
Carcinogencity:  0.114 Eye Corrosion:  0.0
Eye Irritation:  0.953 Respiratory Toxicity:  0.027
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.0
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.254
BCF:   0.417
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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:   3.371
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.434
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.239
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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
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[11520216]
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO26919 Sanguisorba officinalis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO26919 Sanguisorba officinalis Species Rosaceae 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
NPT116 Cell line HL-60 Homo sapiens GI = 64.2 % PMID[32731188]
NPT165 Cell line HeLa Homo sapiens GI = 64.2 % PMID[32731188]
NPT111 Cell line K562 Homo sapiens GI = 64.2 % PMID[32731188]

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 NPC283806 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
0.88 High Similarity NPC238419
0.7167 Intermediate Similarity NPC302170
0.6607 Remote Similarity NPC205037
0.6607 Remote Similarity NPC3746
0.625 Remote Similarity NPC16024
0.5965 Remote Similarity NPC114791
0.5965 Remote Similarity NPC104222
0.5965 Remote Similarity NPC210501
0.5965 Remote Similarity NPC318826
0.5965 Remote Similarity NPC141331
0.5862 Remote Similarity NPC61152
0.5862 Remote Similarity NPC125546
0.5857 Remote Similarity NPC470271
0.5789 Remote Similarity NPC142528
0.5741 Remote Similarity NPC610546
0.5667 Remote Similarity NPC172419
0.5517 Remote Similarity NPC239019
0.5517 Remote Similarity NPC247629
0.5385 Remote Similarity NPC488888
0.5303 Remote Similarity NPC291957
0.5195 Remote Similarity NPC481310
0.5167 Remote Similarity NPC44260
0.5167 Remote Similarity NPC92117
0.5147 Remote Similarity NPC198125
0.5088 Remote Similarity NPC226738

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC283806 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