397 Matching Annotations
  1. Jan 2022
  2. Dec 2021
    1. only about 1% of carbon atoms are C-13. These are the only ones picked up by this form of NMR. If you had a single molecule of ethanol, then the chances are only about 1 in 50 of there being one C-13 atom in it, and only about 1 in 10,000 of both being C-13. But you have got to remember that you will be working with a sample containing huge numbers of molecules. The instrument can pick up the magnetic effect of the C-13 nuclei in the carbon of the CH3 group and the carbon of the CH2 group even if they are in separate molecules. There's no need for them to be in the same one.

      the author believe that even though the percentage of C-13 is low, but its NMR signal can be captured.

  3. Nov 2021
    1. Those structures reveal that Ag+ binds to 6PGDH at both catalytic and non-catalytic sites with dominant binding residues of Cys, His and Met in quasi-linear and trigonal geometry, which is generally consistent with our previous reports36,40. Together with the site-directed mutagenesis study, we unveil that Ag+ abolishes the enzymatic activity of 6PGDH through targeting His185 in the active site and morphing its catalytic pocket.

      Ag can bind with protein at Cys, His and Met residues.

  4. Oct 2021
    1. In contrast, Bcr-Abl is found to localize exclusively in the cytoplasm where it can be positioned in proximity to the signaling proteins controlled by its activated kinase domain.

      Bcr-abl is located in cytoplasm

    1. molReconstruct

      add this option does not output a pdb file with water molecules inside. it will add the density of both H and O, thus generate a new density file, the "molecular density"

    2. Calculating a 3D-RISM solution for a single solute conformation typically requires about 100 times more com-puter time than the same calculation with explicit solvent or PB

      3D-RISM is slow than explicit solvent calculation.

    3. an approximate closure relation must beused. While many closures have been developed, at this time only three are implemented in 3D-RISM:

      HNC, KH and PSE-n are 3 approximate closure relations implemented in Amber

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    1. Under most circumstances, only PrP molecules with an identical amino acid sequence to the infectious PrPSc are incorporated into the growing fiber

      only PrP molecules with an identical sequence to the PrPSc can be recruited to the fiber

  5. Sep 2021
    1. The concentration of His6-pUL53 was estimated based on the previous experiences with the purification yields.

      concentration is estimated here. How does the author estimate?

    2. photobleaching

      Photobleaching is the chemical alteration of the indicator dye, be it a fluorophore or a colorimetric dye, so that it is unable to fluoresce due to the destruction of covalent or non-covalent bonds due to non-specific binding caused by excitation light.

    3. because of its small size, binding of tris-NTA has minimum effect on biochemical and physicochemical properties of the protein

      small tag may not alter the conformation and function of the protein

    4. The observed Kd values were 1.3 ± 0.2 nM for the His6 peptide, 0.6 ± 0.3 nM for IDH R132H and 2.4 ± 1.1 nM for p38α

      2 points:

      1. binding Kd is about 1nM
      2. Kd for different targets could be slightly different

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    1. We were also aware that this method is subject to assay interference by thiol-containing compounds

      this assay involves a thiol intermediate, so it will be interfered by thiol containing compounds, or compounds that react with thiol group. But common HTRF will not be affected.

    2. Significant resources in early drug discovery are spent unknowingly pursuing artifacts and promiscuous bioactive compounds

      PAINS=artifacts and promiscuous bioactive compounds

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  6. Aug 2021
    1. there are gaps in our current knowledge that are essential to fill in order for us to fully understand the clinical implications of targeting this pathway both in terms of clinical efficacy and safety.

      safety

    1. Nearly 2.4 million small molecules were screened using the SDF files of compound libraries from ChemDiv (San Diego, CA) and Timtec (Newark, DE).

      ChemDiv library of 2.4 million compounds were screened

    1. t is interesting that the F2X-Entry library gave considerably higher hit rates than the second 96-compound library, albeit on different targets.

      F2X-entry seems to be better than the Klebe's library in hit rate.

  7. Jul 2021
    1. In a pull-down assay, a bait protein is tagged and captured on an immobilized affinity ligand specific for the tag, thereby generating a "secondary affinity support"’ for purifying other proteins that interact with the bait protein

      basics of pull-down assay

  8. Jun 2021
  9. May 2021
    1. 20 targets for validation that we narrowed down to one novel intracellular target

      one out of 20 targets was selected for further study. The target is an intracellular target, but the target is not disclosed.

    2. The target novelty and disease association scoring was assessed by a natural language processing (NLP) engine, which analyses data from millions of data files, including patents, research publications, grants, and databases of clinical trials

      Method and data In Silico used for target identification

  10. Apr 2021
  11. Mar 2021
    1. chMaker, a deep learning algorithm that synthetically augments the millions of known DTIs found in public databases with biophysical information from 3D structure databases.

      deep learning + 3D protein structure

  12. Dec 2020
  13. Nov 2020
  14. Oct 2020
    1. From the molecules in the candidate pool find the one that has the maximum value for its minimum distance to molecules in the picked set (hence the MaxMin name), calculating and recording the distances as required. This molecule is the most distant one to those already picked so is transferred to the picked set.

      a good summary of MaxMin method

    1. This furyl amide series was of particular interest due to its starting potency, modular nature, structural properties and absence of reactive functionality found within typical covalent modifiers.

      they are seeking for non-covalent inhibitors.

  15. Aug 2020
    1. In situations where Greek letters are unavailable (for example, on some computer displays), they may be replaced by upper case Roman letters (a = A, p = B, 7 = G, d = D, E = E, 4 = Z, 17 = H).

      hydrogen atom nomencleture by IUPAC

    1. their structure formed by interrelated dimeric polypeptide chains

      TGF beta forms dimer to bind with TGF beta receptor. Homodimers are reported for beta 1 and 2; does heterodimer exists?

    1. Generally the intensity of the detected STD-NMR signal depends not only on the efficiency of the receptor-to-ligand saturation transfer but also on the number of ligand molecules in solution that received saturation from the receptor. Because ligand exchange is in place during the saturation time, long saturation times (up to 3 seconds)8 or high ligand excess (10 to 100 fold), allow transfer of saturation from one receptor molecule to much more than one molecule of ligand.

      this is a very vivid description of the saturation exchange process.

    2. Normally, for a determinate system the ligand-to-protein ratio and the saturation time have to be selected according to the expected KD

      useful hint

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    1. only the signals of the hydrogens that are in closecontact to the protein (e5 Å) and receive magnetization transfer

      2 factors lead to saturation transfer: 1. close in space 2. receive magnetization transfer

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    1. To stabilizethe readilyreversiblealdimineadduct,anortho-boronicacidgroupwas included

      aldehyde forms reversible adduct with lysine. attention

    2. Theirreversiblecovalentinhibitor29displayedsuperiorcellularactivitycomparedtoits reversiblecounterpart

      what is the cellular activity of both compounds? In fact, NU6300's binding to CDK2 is weaker than NU6102, and inhibition of Rb phosphoralytion at 50 uM is weaker too. However, its residense time is longer.

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    1. owever, neither of these two new compounds appeared to form a covalent bond with Cys481 in our crystal structures

      covalent warhead does not attach to cysteine

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    1. the typical concentrations of protein and ligand are 2.0–20μM and0.2–2.0 mM, respectively, the ranges of which may depend on solubility of the chemical compounds inwater or available amounts of both interacting partners

      typical concentration: protein 2~20 uM ligand 0.2~2 mM ratio: 1:100

    2. Ligand-based NMR approaches have limitations with respect to the exchange rate between thetarget protein and ligand compound

      slow off ligand will not reflect the binding event

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    1. the presence of large excess of ligand, the satu-ration of free ligands in solution gets amplified because the relaxation of small molecules is slower than the saturation transfer.

      amplified

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    1. This is in agreementwiththe lackof slowlyexchangingpolarresiduesin the CTBbindingpocket

      So D2O/H2O differential STD will highlight the slow exchange polar protein H

    2. aromaticproteinspectralregions

      if compound contains aryl ring, this frequency should not be used to saturate the system, then how should we choose this frequency?

    3. Anothersourceof minordifferencesinepitopemapsisthesolven

      Hydrogen atoms of polar residues will be exchanged to Deuterium when solvent is D2O. In contrast, they will not excha

    4. incethefrequenciesof irradiationcan be chosen,we can selectwhattypesof proteinprotonswill be “directlyirradiated”,so thatthe differenceswill highlightpartsof the ligandcontactingthosetypesof proteinresiduesin the boundstate

      different irradiation frequency will highlight different parts of the types of protein residues that contact with ligand.

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    1. WhichDSTD values should be considered significantwill depend on the sizes of the STD factors for the protein-ligand system under study

      delta STD cutoff needs to be determined according to the system tested.

    2. the 3D structure of the protein can be used to predict the chemical shifts using existing software

      which software can predict the NMR of protein? ShiftX2

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    1. nfact,thereisanincreaseofsensitivitywiththesizeofproteinduetoamoreefficientinter-andintramolecularsaturationtransfer

      larger size of protein will increase the sensitivity due to more efficient inter- and intramolecular saturation transfer

    2. Usinghigherfieldspectrometerswillmakethemethodevenmoreefficientsincesensitivityandspindiffusionincreasewithfieldstrength

      higher field strength will help increase the sensitivity

    3. thedegreeofsaturationofligandsdependsonthesizeoftheprotein,theoffset,andthedurationoftheon-resonanceirradiation,thedissociationrateconstantkoff,andtheexcessofligand

      the degree of saturation of ligands depends on the size of the protein, the offset, and the duration of the on-resonance irradiation, the dissociation rate constant koff, and the excess of ligand

    4. highturnoverratesresultinalargereffectathigherligand-to-proteinratios.SlowdissociationrateswillyieldsmallerSTDNMRsignalsand,thus,reducesensitivity

      Slow dissociation rates will yield smaller STD NMR signals and, thus, reduce sensitivity

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  16. Jul 2020

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    1. For the purpose of comparing the features of the conformational ensemble extracted from ourMD simulations (plain and replica-exchange) to the structures generated by conformer generators(vide infra), we performed a symmetric root mean square displacement-based cluster analysis using thehierarchical agglomerative algorithm

      clustering is used to compare conformations

    2. performs slightly better than some widely-used conformer generation tools when considering boththe abilities to generate high-diversity conformational ensembles and to reproduce experimentally theavailable structures

      plain MD sampled slightly better diverse conformational space than conformer generation tools

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    1. PD3.1)

      How did they find it? 1st round: They did VS against ZINC8 using 3kys as protein model, and selected top 100000 2nd round: The did VS using 5 representative MD snapshots of 3kys, and selected 1000 hits

    2. The selection process from 1000 (seeSupplement Data File S1) to thefinal list of 16 compounds

      3rd VS: visual inspection and property filter

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    1. themixed and atom-based superposition algorithms are thosegiving rise to the most consistent and well-ordered align-ments,

      atom-based and mixed algorithms are recommended.

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    1. 0.6mgof recombinant AR, SRC-3 and p300 proteins were incubated with 200 ng of ARE DNA in the presence of 1mM R1881

      the SRC-3 and p300 should be full length protein

    2. this is a Cryo-EM paper. It demonstrated how scientist map proteins to the volume data from EM. The author combined result from antibody labelling, protein docking, pull down and CoIP to map the protein to the volume data.

    3. The rela-tively large-sized AR NTDs, however, wrap around the LBDs,blocking the access of SRC-3 to the LBD. Consequently,SRC-3 is solely recruited by the AR NTD, and p300 recruitmentis stabilized by contacting two AR NTDs

      AR NTD wrap around its LBD. Does AR NTD mimic the function of some NR co-activator? These conclusion is only true when AR agonist R1881 is added, check figure 4

    4. Based on the structure (Figure 3C), we did not observe thatSRC-3 directly contacts the AR LBDs. The interaction betweenSRC-3 and the AR NTD is clearly observed in our structuraldata

      SRC3 interacts with NTD, but not LBD as revealed by the structure

    5. The combination of the anti-body locations, crystal structure docking, and the observed DNA

      docking, antibody labelling and DNA position allows the modeling building

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    1. different conformation of the β-helix region creates a hydrophobic cavity that is absent in tau filaments from the brains of patients with Alzheimer’s disease

      this cavity is a mystery revealed by this article. the authors believe it is a hydrophobic cavity. Actually, at similar position of the Alzheimer's tau filament, a smaller tunnel exists. beta-helix may mean a helical ultrastructure formed by beta sheet.

    2. additional density—which is not present in the Alzheimer fold—is surrounded by the density of the tau protein chain within the ordered cor

      unrevealed density

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