
PMC:7594251 / 1731-7671
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T38790 | 3728-3735 | Body_part | denotes | protein | http://purl.org/sig/ont/fma/fma67257 |
T60513 | 4736-4749 | Body_part | denotes | aspartic acid | http://purl.org/sig/ont/fma/fma82760 |
T80219 | 4825-4832 | Body_part | denotes | neurons | http://purl.org/sig/ont/fma/fma54527 |
T8361 | 5557-5565 | Body_part | denotes | proteins | http://purl.org/sig/ont/fma/fma67257 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T7 | 31-39 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
T8 | 42-50 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T9 | 4685-4704 | Disease | denotes | Alzheimer’s disease | http://purl.obolibrary.org/obo/MONDO_0004975 |
T10 | 4800-4807 | Disease | denotes | amyloid | http://purl.obolibrary.org/obo/MONDO_0019065 |
T11 | 4863-4882 | Disease | denotes | Alzheimer’s disease | http://purl.obolibrary.org/obo/MONDO_0004975 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T11156 | 71-73 | http://purl.obolibrary.org/obo/CLO_0001302 | denotes | 34 |
T1321 | 167-168 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T20418 | 459-460 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T33210 | 470-473 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T56537 | 538-539 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T14710 | 797-798 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T5958 | 818-825 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | testing |
T70818 | 871-872 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T2693 | 1097-1098 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T73848 | 1297-1298 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T46124 | 2147-2150 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T768 | 2151-2160 | http://www.ebi.ac.uk/efo/EFO_0000876 | denotes | extremely |
T84574 | 3245-3246 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T27515 | 3611-3614 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T97004 | 4151-4154 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T26399 | 4550-4552 | http://purl.obolibrary.org/obo/CLO_0001313 | denotes | 36 |
T10521 | 4716-4717 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T91269 | 4718-4726 | http://purl.obolibrary.org/obo/UBERON_0000158 | denotes | membrane |
T7501 | 4800-4821 | http://purl.obolibrary.org/obo/PR_000036193 | denotes | amyloid beta peptides |
T15351 | 5066-5067 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T61451 | 5252-5254 | http://purl.obolibrary.org/obo/CLO_0001313 | denotes | 36 |
T78635 | 5265-5266 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T85737 | 5595-5598 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T68234 | 5744-5745 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T99227 | 5778-5780 | http://purl.obolibrary.org/obo/CLO_0054055 | denotes | 71 |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T12 | 270-274 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T13 | 316-330 | Chemical | denotes | pharmaceutical | http://purl.obolibrary.org/obo/CHEBI_52217 |
T14 | 387-392 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
T15 | 465-469 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T16 | 547-551 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T17 | 777-781 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T18 | 970-974 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T19 | 1228-1233 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
T20 | 2021-2030 | Chemical | denotes | molecules | http://purl.obolibrary.org/obo/CHEBI_25367 |
T21 | 2583-2592 | Chemical | denotes | molecules | http://purl.obolibrary.org/obo/CHEBI_25367 |
T22 | 2888-2892 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T23 | 2981-2987 | Chemical | denotes | ligand | http://purl.obolibrary.org/obo/CHEBI_52214 |
T24 | 3049-3056 | Chemical | denotes | ligands | http://purl.obolibrary.org/obo/CHEBI_52214 |
T25 | 3247-3251 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T26 | 3370-3374 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T27 | 3453-3457 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T28 | 3497-3505 | Chemical | denotes | molecule | http://purl.obolibrary.org/obo/CHEBI_25367 |
T29 | 3723-3727 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T30 | 3728-3735 | Chemical | denotes | protein | http://purl.obolibrary.org/obo/CHEBI_36080 |
T31 | 3794-3798 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T32 | 3841-3845 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T33 | 3972-3976 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T34 | 4223-4237 | Chemical | denotes | pharmaceutical | http://purl.obolibrary.org/obo/CHEBI_52217 |
T35 | 4651-4660 | Chemical | denotes | inhibitor | http://purl.obolibrary.org/obo/CHEBI_35222 |
T36 | 4736-4749 | Chemical | denotes | aspartic acid | http://purl.obolibrary.org/obo/CHEBI_22660 |
T37 | 4745-4749 | Chemical | denotes | acid | http://purl.obolibrary.org/obo/CHEBI_37527 |
T38 | 4800-4812 | Chemical | denotes | amyloid beta | http://purl.obolibrary.org/obo/CHEBI_64645 |
T39 | 4808-4812 | Chemical | denotes | beta | http://purl.obolibrary.org/obo/CHEBI_10545 |
T40 | 4813-4821 | Chemical | denotes | peptides | http://purl.obolibrary.org/obo/CHEBI_16670 |
T41 | 5068-5074 | Chemical | denotes | ligand | http://purl.obolibrary.org/obo/CHEBI_52214 |
T42 | 5240-5250 | Chemical | denotes | inhibitors | http://purl.obolibrary.org/obo/CHEBI_35222 |
T43 | 5557-5565 | Chemical | denotes | proteins | http://purl.obolibrary.org/obo/CHEBI_36080 |
T44 | 5730-5732 | Chemical | denotes | ID | http://purl.obolibrary.org/obo/CHEBI_141439 |
T45 | 5855-5859 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
T46 | 5928-5932 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
18 | 108-111 | Gene | denotes | Oct | Gene:5362 |
19 | 749-753 | Gene | denotes | high | Gene:104137 |
20 | 31-41 | Species | denotes | SARS-CoV-2 | Tax:2697049 |
21 | 42-50 | Disease | denotes | COVID-19 | MESH:C000657245 |
25 | 1244-1251 | Species | denotes | patient | Tax:9606 |
26 | 1651-1659 | Species | denotes | patients | Tax:9606 |
27 | 1490-1509 | Disease | denotes | learning algorithms | MESH:D007859 |
31 | 2161-2165 | Gene | denotes | high | Gene:104137 |
32 | 1722-1726 | Gene | denotes | high | Gene:104137 |
33 | 3794-3807 | Disease | denotes | drug toxicity | MESH:D064420 |
44 | 4675-4681 | Gene | denotes | BACE-1 | Gene:23621 |
45 | 4706-4712 | Gene | denotes | BACE-1 | Gene:23621 |
46 | 4800-4812 | Gene | denotes | amyloid beta | Gene:351 |
47 | 4977-4983 | Gene | denotes | BACE-1 | Gene:23621 |
48 | 5233-5239 | Gene | denotes | BACE-1 | Gene:23621 |
49 | 4951-4962 | Chemical | denotes | isothiourea | MESH:D013890 |
50 | 5085-5096 | Chemical | denotes | isothiourea | MESH:D013890 |
51 | 5211-5229 | Chemical | denotes | iminopyrimidinones | |
52 | 4685-4704 | Disease | denotes | Alzheimer’s disease | MESH:D000544 |
53 | 4863-4882 | Disease | denotes | Alzheimer’s disease | MESH:D000544 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T25274 | 1490-1498 | http://purl.obolibrary.org/obo/GO_0007612 | denotes | learning |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T3 | 4685-4704 | Phenotype | denotes | Alzheimer’s disease | http://purl.obolibrary.org/obo/HP_0002511 |
T4 | 4863-4882 | Phenotype | denotes | Alzheimer’s disease | http://purl.obolibrary.org/obo/HP_0002511 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T16 | 0-2 | Sentence | denotes | 1. |
T17 | 3-15 | Sentence | denotes | Introduction |
T18 | 16-112 | Sentence | denotes | The unexpected SARS-CoV-2/COVID-19 outbreak, with over 34 million confirmed cases globally (Oct. |
T19 | 113-299 | Sentence | denotes | 2020) and the struggle for survival in the absence of a proven and efficient treatments, emphasizes the critical need to develop effective, novel, and rapid drug discovery methodologies. |
T20 | 300-434 | Sentence | denotes | Even though the pharmaceutical industry works constantly to discover and develop novel drugs, the process is still slow and expensive. |
T21 | 435-588 | Sentence | denotes | The cost of introducing a new drug has increased steadily, with current cost estimates predicting that a future drug will cost in excess of $2.6 billion. |
T22 | 589-743 | Sentence | denotes | The typical development cost is usually spread out over the course of 14 years [1,2,3], making investment even more difficult (i.e., cost recovery delay). |
T23 | 744-915 | Sentence | denotes | This high investment barrier for drug development is a result of numerous testing phases (Scheme 1), with each phase requiring a statistically significant number of cases. |
T24 | 916-1079 | Sentence | denotes | Although there are several other substantial costs to drug development, that discussion of experimental methods to reduce costs is beyond the scope of this review. |
T25 | 1080-1234 | Sentence | denotes | The emergence of a pandemic and the emergencies it creates worldwide understandably drive and motivate the rapid development and/or optimization of drugs. |
T26 | 1235-1319 | Sentence | denotes | However, patient safety and subsequent earned public trust is a primary requirement. |
T27 | 1320-1575 | Sentence | denotes | Drug redirecting/repurposing (Scheme 1) is an efficient short-cut method in disease treatment that utilizes existing tools, and combines artificial intelligence, machine learning algorithms, and experimental NMR techniques (i.e., “from Bench to Bedside”). |
T28 | 1576-1687 | Sentence | denotes | This process must be relatively rapid and efficient to have any benefit to patients and the health-care system. |
T29 | 1688-1873 | Sentence | denotes | Compared to mass spectrometry and high-performance liquid chromatography (HPLC), nuclear magnetic resonance (NMR) is another powerful technique with several unique advantages [5,6,7,8]. |
T30 | 1874-2074 | Sentence | denotes | NMR is intrinsically quantitative, and it provides several different approaches that are routinely utilized to identify and structurally elucidate molecules of interest [9,10,11,12,13,14,15,16,17,18]. |
T31 | 2075-2388 | Sentence | denotes | In contrast to mass spectrometry, NMR is non-destructive, non-invasive, has extremely high reproducibility permitting researchers to acquire measurements under different experimental conditions (e.g., temperature, time points, and concentrations) often while the same sample is inside the magnet [19,20,21,22,23]. |
T32 | 2389-2572 | Sentence | denotes | NMR can be used in reaction kinetic studies while several consecutive measurements are taken, and while spectral changes (function of the reaction time) are analyzed [24,25,26,27,28]. |
T33 | 2573-2636 | Sentence | denotes | Moreover, molecules are studied at the atomic level [29,30,31]. |
T34 | 2637-2847 | Sentence | denotes | Unlike other analytical tools, NMR provides dynamic information, and NMR experiments can be carried out under physiological conditions (e.g., atmospheric pressure, temperature, and different pH values) [32,33]. |
T35 | 2848-2991 | Sentence | denotes | This is especially important in medical drug design since one must understand the interactions between an enzyme of interest and the ligand(s). |
T36 | 2992-3162 | Sentence | denotes | NMR provides information on the binding affinity of such ligands, details/location of the binding site, and associated structural changes following binding [32,33,34,35]. |
T37 | 3163-3292 | Sentence | denotes | These biophysical details are essential when evaluating the potential efficacy of a drug, and during any subsequent optimization. |
T38 | 3293-3390 | Sentence | denotes | The available literature [32,33,34,36] highlights the practicality of NMR in drug design studies. |
T39 | 3391-3606 | Sentence | denotes | For these reasons, NMR spectroscopy is highly sought after in drug development [37,38,39,40,41], for both molecule identification [11,13,14,18,42,43,44,45,46] and structural elucidation [15,16,17,45,47,48,49,50,51]. |
T40 | 3607-3822 | Sentence | denotes | NMR has been successfully applied in stereochemistry [52,53,54,55,56] and isomer determination [57,58,59,60,61], in drug-protein interactions studies [62,63,64], and in the evaluation of drug toxicity [65,66,67,68]. |
T41 | 3823-3953 | Sentence | denotes | The use of NMR in drug design is not restricted to academic laboratories and gained interest from those in development industries. |
T42 | 3954-4077 | Sentence | denotes | The use of NMR in drug development increased in the late ‘80s, as seen in both scientific and patent literature (Figure 1). |
T43 | 4078-4193 | Sentence | denotes | While scientific interest in NMR is still growing, the number of patents has been decreasing since the early 2000s. |
T44 | 4194-4341 | Sentence | denotes | The top applicants of NMR in pharmaceutical patents are Bristol Myers, AstraZeneca, and Wyeth, with 146, 104, and 67 patent families, respectively. |
T45 | 4342-4497 | Sentence | denotes | In addition to the advantages provided by NMR, it is often used with complementary methods such as X-ray crystallography, HPLC, and mass spectrometry [69]. |
T46 | 4498-4705 | Sentence | denotes | An example of this is found in work by Wyss et al. [36], where they combined X-ray crystallography with NMR fragment-based screening to create the first inhibitor candidate for BACE-1 in Alzheimer’s disease. |
T47 | 4706-4891 | Sentence | denotes | BACE-1 is a membrane-anchored aspartic acid protease and is responsible for the production of amyloid beta peptides in neurons related to the progression of Alzheimer’s disease [36,70]. |
T48 | 4892-5106 | Sentence | denotes | Using NMR fragment-based screening, Wyss et al. identified isothiourea as binding to BACE-1 and confirmed this observation with the X-ray crystal structure of the complex of a ligand-efficient isothiourea fragment. |
T49 | 5107-5256 | Sentence | denotes | Information obtained from these experiments aided in design optimization, resulting in the selection of iminopyrimidinones as BACE-1 inhibitors [36]. |
T50 | 5257-5355 | Sentence | denotes | This is a perfect example of using different complementary methods to maximize scientific outcome. |
T51 | 5356-5453 | Sentence | denotes | However, in order to be efficient, one must know the advantages and disadvantages of each method. |
T52 | 5454-5578 | Sentence | denotes | One of the major issues regarding NMR is the effective size restriction when measuring targets such as proteins above 40kDa. |
T53 | 5579-5782 | Sentence | denotes | Recent progress has extended this mass limit; an example of this is the resolved structure of chaperone SecB in complex with unstructured proPhoA (PDB ID 5JTL) with a total mass of 119kDa using NMR [71]. |
T54 | 5783-5940 | Sentence | denotes | In this review, we present practical guideline to use NMR techniques in drug design studies and provide examples of the successful use of NMR in drug-design. |