Natural Product: NPC73535| Natural Product ID | NPC73535 |
|
Common Name
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
| 4''-Deoxy-3-Hydroxyterphenyllin |
| IUPAC Name | 4-(2-hydroxy-3,6-dimethoxy-4-phenylphenyl)benzene-1,2-diol |
| Synonyms | |
| Synthetic Gene Cluster | n.a. |
| ChEMBL Identifier | CHEMBL1795347 |
| PubChem CID |
53262867 |
| Chemical Classification |
|
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 | QVPSTGJFYRHFSU-UHFFFAOYSA-N |
| Standard InCHI | InChI=1S/C20H18O5/c1-24-17-11-14(12-6-4-3-5-7-12)20(25-2)19(23)18(17)13-8-9-15(21)16(22)10-13/h3-11,21-23H,1-2H3 |
| SMILES | COc1cc(c2ccccc2)c(c(c1c1ccc(c(c1)O)O)O)OC |
  Calculated Properties| Molecular Weight:   | 338.12 | Volume:   | 349.03 Van der Waals volume.
|
| Dense:   | 0.969 | LogP:   | 3.25 The logarithm of the n-octanol/water distribution coefficients.
|
| logD7.4:   | 3.225 The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
|
LogS:   | -3.888 The logarithm of aqueous solubility value.
|
| Rotatable Bonds:   | 4.0 | Rigid Bonds:   | 18.0 |
| TPSA:   | 79.15 Topological Polar Surface Area.
|
H-Bond Acceptor:   | 5.0 |
| H-Bond Donor:   | 3.0 | Rings:   | 3.0 |
| Heavy Atoms:   | 5.0 |
| QED Drug-Likeness Score:   | 0.623 | GASA:   | 0.0 GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
|
| Synthetic Accessibility Score:   | 2.172 | Fsp3:   | 0.1 |
| MCE-18:   | 18.0 MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
|
Lipinski Rule-of-5:   | Rejected |
| Pfizer Rule:   | Rejected | GSK Rule:   | Rejected |
| Golden Triangle Rule:   | Rejected | BMS Rule:   | 0 |
| Chelating Alert:   | 1 | PAINS Alert:   | 1 |
| Colloidal aggregators:   | 0.841 | Fluc inhibitor:   | 0.231 The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
|
| Blue fluorescence:   | 0.541 The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
|
Green fluorescence:   | 0.695 The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
|
| Reactive compounds:   | 0.562 | Promiscuous compounds:   | 0.536 |
| Caco-2 Permeability:   | -5.022 | MDCK Permeability:   | -4.769 |
| Pgp-inhibitor:   | 0.002 | Pgp-substrate:   | 0.013 |
| PAMPA:   |
0.888 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):   | 0.049 |
| 20% Bioavailability (F20%):   | 0.291 | 30% Bioavailability (F30%):   | 0.171 |
| 50% Bioavailability (F50%):   | 0.86 |
| Blood-Brain-Barrier Penetration (BBB):   | 0.027 | MRP1:   | 0.934 |
| Plasma Protein Binding (PPB):   | 98.989% | Volume Distribution (VD):   | -0.364 |
| Fu: |
0.964% The fraction unbound in plasms.
|
OATP1B1 inhibitor:   | 0.835 |
| OATP1B3 inhibitor:   | 0.992 | BCRP inhibitor:   | 0.189 |
| BSEP inhibitor:   | 0.238 |
| CYP1A2-inhibitor:   | 0.957 | CYP1A2-substrate:   | 0.929 |
| CYP2C19-inhibitor:   | 0.76 | CYP2C19-substrate:   | 0.517 |
| CYP2C9-inhibitor:   | 0.948 | CYP2C9-substrate:   | 0.044 |
| CYP2D6-inhibitor:   | 1.0 | CYP2D6-substrate:   | 0.992 |
| CYP3A4-inhibitor:   | 0.001 | CYP3A4-substrate:   | 0.641 |
| CYP2B6-substrate:   | 0.013 | CYP2C8-inhibitor:   | 0.411 |
| HLM stability:   |
0.946 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.
|
| Clearance (CL):   | 11.302 | Half-life (T1/2):   | 1.311 |
| hERG Blockers:   | 0.186 | hERG Blockers (10um):   | 0.763 |
| Human Hepatotoxicity (H-HT):   | 0.532 | Drug-induced Liver Injury (DILI):   | 0.5 |
| AMES Toxicity:   | 0.428 | Rat Oral Acute Toxicity:   | 0.403 |
| Maximum Recommended Daily Dose:   | 0.627 | Skin Sensitization:   | 0.934 |
| Carcinogencity:   | 0.437 | Eye Corrosion:   | 0.034 |
| Eye Irritation:   | 0.945 | Respiratory Toxicity:   | 0.627 |
| Drug-induced Neurotoxicity:   | 0.283 | Ototoxicity:   | 0.535 |
| Hematotoxicity:   | 0.142 | Drug-induced Nephrotoxicity:   | 0.157 |
| Genotoxicity:   | 0.395 | RPMI-8226 Immunitoxicity:   | 0.038 |
| A549 Cytotoxicity:   | 0.771 | Hek293 Cytotoxicity:   | 0.466 |
| BCF:   |
1.311 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:   |
4.274 48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
|
| LC50DM:   |
5.304 48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
|
LC50FM:   |
4.79 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 |
|---|---|---|---|---|---|---|---|---|
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | rhizosphere | Sonoran desert | n.a. |
PMID[15620238] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[17542490] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[17564467] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[19053517] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[21366228] |
| NPO9892 | Aspergillus taichungensis | Species | Aspergillaceae | Eukaryota | isolated from the root soil of the mangrove plant Acrostichum aureum | n.a. | n.a. |
PMID[21486068] |
| NPO9892 | Aspergillus taichungensis | Species | Aspergillaceae | Eukaryota | a root soil fungus isolated from the mangrove plant Acrostichum aureum | n.a. | n.a. |
PMID[21486068] |
| NPO9892 | Aspergillus taichungensis | Species | Aspergillaceae | Eukaryota | n.a. | mycelium | n.a. |
PMID[21486068] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[21718031] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[21854017] |
| NPO13765 | Acrostichum aureum | Species | Pteridaceae | Eukaryota | n.a. | aerial part | n.a. |
PMID[21899268] |
| NPO33649 | Aspergillus sp. YXf3 | Species | Aspergillaceae | Eukaryota | isolated from a healthy leaf of Ginkgo biloba | the campus of Nanjing University, Nanjing, China | 2008-OCT |
PMID[22196792] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | healthy leaf of Ginkgo biloba | campus of Nanjing University, Nanjing, China | 2008-OCT |
PMID[22196792] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | isolated from the sponge Xestospongia testudinaria | n.a. | n.a. |
PMID[22225637] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | Isolated from a sandy-loam soil sample | 50 m inland from Waikiki Beach, Honolulu, Hawaii | 2010-JUL |
PMID[22400916] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[22703109] |
| NPO13765 | Acrostichum aureum | Species | Pteridaceae | Eukaryota | n.a. | aerial part | n.a. |
PMID[22906240] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[23527875] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[24050204] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[25001296] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[25581396] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[26273902] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[31012585] |
| NPO31572 | Aspergillus sp. | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[33305943] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. |
PMID[39769283] |
| NPO33649 | Aspergillus sp. YXf3 | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO9892 | Aspergillus taichungensis | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO12872 | Taraxacum disseminatum | Species | Asteraceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO11049 | Solanum capsicastrum | Species | Solanaceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO12686 | Sideritis hirsuta | Species | Lamiaceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO14461 | Vibrio fluvialis | Species | Vibrionaceae | Bacteria | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. | Database[COCONUT] |
| NPO11049 | Solanum capsicastrum | Species | Solanaceae | Eukaryota | n.a. | n.a. | n.a. | Database[HerDing] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. | Database[HerDing] |
| NPO11049 | Solanum capsicastrum | Species | Solanaceae | Eukaryota | n.a. | n.a. | n.a. | Database[TCMID] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. | Database[TCMID] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. | Database[TCM_Taiwan] |
| NPO11049 | Solanum capsicastrum | Species | Solanaceae | Eukaryota | n.a. | n.a. | n.a. | Database[TCM_Taiwan] |
| NPO22797 | Fleroya stipulosa | Species | Rubiaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO9892 | Aspergillus taichungensis | Species | Aspergillaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO13272 | Ulva lactuca | Species | Ulvaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO7010 | Anthocleista procera | Species | Gentianaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO14461 | Vibrio fluvialis | Species | Vibrionaceae | Bacteria | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO13868 | Gnaphalium oligandrum | Species | Asteraceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO11049 | Solanum capsicastrum | Species | Solanaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO10556 | Eria jarensis | Species | Orchidaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO11828 | Mucor hiemalis | Species | Mucoraceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO14357 | Ixeris denticulata | Species | Asteraceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO26896 | Wulfenia orientalis | Species | Plantaginaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO13765 | Acrostichum aureum | Species | Pteridaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO12686 | Sideritis hirsuta | Species | Lamiaceae | Eukaryota | n.a. | n.a. | n.a. | Database[UNPD] |
| NPO12872 | Taraxacum disseminatum | Species | Asteraceae | 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
| Target ID | Target Type | Target Name | Target Organism | Activity Type | Activity Relation | Value | Unit | Reference |
|---|
| Target ID | Target Type | Target Name | Target Organism | Activity Type | Activity Relation | Value | Unit | Reference |
|---|---|---|---|---|---|---|---|---|
| NPT116 | Cell line | HL-60 | Homo sapiens | IC50 | = | 9890.0 | nM | PMID[21486068] |
| NPT168 | Cell line | P388 | Mus musculus | IC50 | = | 2700.0 | nM | PMID[21486068] |
| NPT81 | Cell line | A549 | Homo sapiens | IC50 | = | 40710.0 | nM | PMID[21486068] |
| NPT2 | Others | Unspecified | n.a. | IC50 | > | 30000.0 | nM | PMID[22196792] |
| 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
| 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
| Hepatotoxicity | Carcinogenicity | Mutagenicity | Cardiotoxicity | Respiratory Toxicity | Eye Irritation | Endocrine Disruption |
|---|---|---|---|---|---|---|
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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 similarityTop-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 NPC73535 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 |
|---|---|---|
| 0.85 | High Similarity | NPC272157 |
| 0.8462 | Intermediate Similarity | NPC201145 |
| 0.8049 | Intermediate Similarity | NPC25111 |
| 0.7073 | Intermediate Similarity | NPC90615 |
| 0.6 | Remote Similarity | NPC34431 |
| 0.5893 | Remote Similarity | NPC485410 |
| 0.5714 | Remote Similarity | NPC165026 |
| 0.5439 | Remote Similarity | NPC485408 |
| 0.5439 | Remote Similarity | NPC485411 |
| 0.5254 | Remote Similarity | NPC485407 |
| 0.5208 | Remote Similarity | NPC114155 |
| 0.5106 | Remote Similarity | NPC6262 |
| 0.5088 | Remote Similarity | NPC295719 |
Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.
●  The left chart: Distribution of similarity level between NPC73535 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 similaritySimilarity 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.
