397 Matching Annotations
  1. Jul 2020

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    1. there is a negligible impact of these differences on zwitterionicAMP dynamics as sampled alongμs-long MD simulations using both sets of charges

      charges did not show significant difference for MD

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    1. However, for compound libraries witheven smaller compounds (about five to seven non-hydrogenatoms) higher hit rates were reported

      the smaller the fragment, the higher the hit rate. the purpose of different fragment libraries are different, both want to identify hot spots, and Reilly wanted to help MedChem optimization

    2. Of these, 10 hits (10 binding events) were observed onAar2, 11 hits (12 binding events) on RNaseH, and 1 hit (one bind-ing event) at the functional interface of the two proteins

      exciting results, 3 binding sites were identified with ligand

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  2. Jun 2020
    1. All of the fragment hits in this case were identified through visual inspection of the electron density maps

      manual inspection of the density map to find the binder

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    1. 200 μmol/L potential hit compound or 200 μmol/L potential hit compound in the presence of 5 μmol/L protein.

      working solution of single compound NMR: 200 uM compound, 5 uM protein

    2. DMSO-d6 stock solu-tions with a group compound concentration of 10 mmol/L were prepared and used for screening

      stock solution: 10 mM = sum of conc. of all group member?

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    1. During the fragment hit-to-lead process, we typically synthesize 50–100 compounds to increase the binding affinity from millimolar to nanomolar, and we routinely generate multiple lead series for each target

      50-100 compounds from millimolar to nanomolar, that is too successful, 10^6 increase

    2. the most potent fragment is often not the best starting point for hit-to-lead chemistry.

      a good lession: the most potent hit may not be the best starting point for further optimization.

    3. Although better cross-validation would provide increased confidence in fragment hits, there is a danger that this may also result in the systematic selection of more potent hits,

      this is a dilemma, if you expect a hit to be validated in both NMR and X-ray, you are actually expect a stronger binder.

    4. that current fragment libraries are largely composed of ‘flat structures’

      flat structures are not good enough for some protein targest?

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    1. T-34 caused the degradation of the full-length AR, but not the tau-5-deleted AR

      tau-5 locates between AF-1 and DBD, deletion of this region may cause significant protein structure change, such change may result in different AR degradation profile which is irrelavant with UT-34

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    1. chloroform extracts of ten marine sponges werescreened for their antimicrobial activit

      chloroform extracts were directly used without further separation for antimicrobial activity test. How to separate the active indigrient then?

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    1. Our laboratory recently reported the structure of the intact PPARγ-RXRα heterodimer bound to its idealized DNA site, with coactivator peptides and ligands of both receptors

      the author of this review published the full length structure of PPARg

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    1. Enzalutamide is an inhibitor of androgen-receptor signaling that exerts its activity by binding avidly to the ligand-binding domain of the androgen receptor, competing with and displacing the natural ligands of this receptor (testosterone and dihydrotestosterone)

      Enzalutamide binds to AR LBD

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    1. he discoveryof five distinct pockets in these complexes expands the possibilities fortargeting HIF protein activities with drug-like molecules for thera-peutic purposes.

      5 distinct pocket proposed in this paper

    2. A proposed mechanism by which 0X3 binding candestabilize the HIF-2a–ARNT heterodimer.

      R366 conformation is almost identical in apo and X03 bound structures(4zp4 vs 4zqd)

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    1. . This mech-anistic hypothesis suggests perturbation of a few amino acidresidues within the PAS-B domain is sufficient to disrupt a largeprotein:protein interface leading to complete blockage of HIF2a-driven gene transcription

      in fact, the PPI is not disrupted, but altered.

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  3. May 2020

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    1. OPCwater model in combination with the ff99SB was found to improve, significantly, accuracy of atomistic simulationsof IDPs

      Myc is a typical IDP. To model Myc, force field must be carefully chosen.

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    1. nrt1 deletion

      highlights one transporter thatdisplays a significant extent of such resistance (as thenrt1dele-tant).NRT1encodes a nicotinamide riboside transporter, whichled us to hypothesize (i) that such a deletant would display resis-tance to DPI when cultured axenically, and (ii) that nicotinic acidwould be able to compete with the DPI and effect phenotypicresistance.Figure 2Bshows that both predictions are entirelyfulfilled

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    1. The possibility of adding these restrainingpotentials to the force field expression has also beenadded to the existing RDKit UFF implementation

      Rdkit UFF also support cartesian restraints

    2. relax ligand-receptor complexeswithout causing major alterations of their originalgeometry, or to perform a torsional scan on a selecteddihedral while relaxing the rest of the molecule.

      such functions are like Schrodinger MacroModel, how to implement them?

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    1. MONN contains a pairwise interaction prediction module, which can capture the non-covalent interactions between atoms of a compound and residues of a protein with extra supervision from the labels extracted from available high-quality 3D compound-protein complex structures

      does that mean MONN can predict binding site

  4. Apr 2020

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    1. Mixed the plate thoroughly and incubated for one hour at room temperature. Then 5 μL development solution was added to each well and the plate was incubated for 1h at room temperature;

      the compound and kinase are incubated together for at least 2 hours. And 2 hours is enough for covalent adduct to form. if compound can form covalent adduct with FGFR1, why FGFR1 inhibition IC50 is so poor?

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    1. e submit that the use of a crystallographic primary screenfollowed by rapid poised chemistry to generate a follow-uplibrary offers a new, powerful method in hit discovery and leadseries selectio

      method summary: crystallography as primary screen, followd by rapid poised chemistry

    2. he ten reactions were selected to create poisedscaffolds with which to perform substructure searches. Thepoised fragment chemical space was further augmented withtwelve heterocycle forming reactions as dened by Hartenfelleret al.33and an oxazole formation developed in our own lab.

      poised fragment are generated by matching 10 reaction from 2011 ref, 12 heterocycle forming reaction from Hartenfeller ref, and 1 oxazole formation reaction

    3. with accordingly increased sensitivity

      higher concentration of compounds increased the sensitivity of crystallography, compared to solution screen.

    4. A poised fragment library enables rapid syntheticexpansion yielding thefirst reported inhibitors ofPHIP(2), an atypical bromodomain

      what is the library? compound in the library can be expanded quickly by synthesis why they designed it this way? they did not find convincing hits from solution screen. They use crystallography as primary screening tech what assay they used for the screening? AlphaScreen competition assay as function assay

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    1. S(+)‐ketamine affinity for the PCP site could be three times higher than that of R(−)‐ketamine 94, which confers to S(+)‐ketamine a strong analgesic and anesthetic effect, at least two times stronger compared to the racemic mixture 115.

      S isofom of ketamine has stronger binding to PCP site than R isoform

    2. NMDA (specifically activated by N‐methyl‐D‐aspartate) and non‐NMDA 89 (such as AMPA [alpha‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazole‐propionic acid] and KA [kainate]) receptors

      name of NMDA, AMPA and KA

    1. e it forms stable hydrogen bonds with the two pore-loop asparagine residues N614 (GluN1) and N612

      interaction with the Asn is observed in MD simulation

    2. The omit electron density map showed only electron density for the β-carbon of N612;

      sidechain of N612 is disordered in the crystal structure

    3. The side effects of MK-801, which are probably a result of its high affinity for and long dwell time on the receptor, preclude its clinical application

      MK-801 has side effect, and may related to its high affinity and long off rate.

    4. Neurodegenerative disorders, chronic pain, stroke and schizophrenia have all been attributed to the dysfunction of NMDA receptors

      disease link to many neuro diseases

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    1. The extracellular region of the human ACE2 enzyme is com-posed of two domains.

      two domains: 1. zinc metallopeptidase domain(N terminal, residues 19-611) 2. C-terminus (residues 612-740)

    2. the N terminus- andzinc-containing subdomain I (red), com-posed of residues 19–102, 290–397, and417–430; and the C terminus-containingsubdomain II (blue), composed of residues103–289, 398–416, and 431–615.

      definition of the two subdomains

    3. The metallopeptidase domain of ACE2 can be further dividedinto two subdomains (I and II)

      zinc metallopeptidase domain(N terminal, residues 19-611) can be further divided into two subdomains(I and II), which form the two sides of a long and deep cleft.

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    1. 100 nM MLN-4760did not interfere with immunoprecipitation of ACE2 by S1-Ig,nor did this inhibitor interfere with S-protein-mediated infec-tion (Figure 4B and C)

      hACE2 inhibitorm MLN-4760, does not interfere with immunoprecipitation of ACE2 by S1-Ig, nor did this inhibitor interfere with S-protein-mediated infection. So ACE2 inhibtor should not be a good way to interfere SARS infection

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    1. WIN site inhibitors that–in light of our recentwork–could be repurposed for targeting MYC

      WIN site inhibitor could be repurposed for targeting MYC

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    1. CPD3.1 also significantly inhibitedTEAD-dependent NLUC secretion at 20μM with IC50=70μM(Figure 4C), without affecting cell viability

      CPD3.1 is a part of Compound 3, but shows better IC50

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    1. We did not use the YAP peptides containing residues in interface1 because it has been shown that interface 1 is dispensable forYAP binding

      this is strange, as the YAP interface 1 segment is a beta strand, which forms multiple Hbond with TEAD. So how could it be dispensable for TEAD binding?

    2. YAP peptide

      what is the sequence of the peptide? it might be the peptide 1 in Fig 1D, which shows the strongest binding to TEAD, ~ 200 nM. Peptide 1 contains just the alpha helix and omega loop, so it is possible that the FA binding will affect the beta strand part which is missing in peptide 1

    3. The central pocket of TEADs has an excellent druggabilityscore

      what is the score? calculated by which software the author probably used Schrodinger Sitemap, although they did not mention. but they used Schrodinger to calculated the strain energy and prepare the protein structure

    4. However, we cannotcompletely rule out the possibility that the second flufenamate-binding site, which is close to the interface-3 region of TEAD,could play a synergistic role in inhibition

      role of binding in omega loop site is not clear

    5. Because we did notobserve the disruption of TEAD-YAP interactions by FA and NAin vitro, it is not clear how flufenamates, such as FA, inhibit theTEAD-YAP-mediated gene expression.

      discrepency between in vitro binding and in vitro cellular assays is not addressed by the author

    6. , indicating that TEAD-YAPinteraction is unaffected by flufenamate binding in vitro

      FA binding did not affect YAP-TEAD interaction in vitro

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  5. Mar 2020
    1. The scoring function was designed to encourage thematch between atoms with similar electrostatic charge,giving an additional bonus to atom pairs bearing a non-zeroformal charge of the same sign and a penalty to oppositelycharged centres

      the score will be high if atom with similar electrostatic charge is aligned.

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    1. GetDihedralConfDegree

      rdkit can measure dihedral. How to define the dihedral? seems user needs to provide 4 atom ids, but how to get the ids? Method 1. Use PyMOL to load the structure, and show label>Atom properties>Rank. Then the atom id will be labelled Method 2. Use SMARTS? How to?

    1. ten drug

      The target the author chosen is a known target, with 10 drugs under clinical trials. So they have prior knowledge about the correct conformation of the binding site, and also the shape of the bound molecules. These helps a lot for the author to pick the hits.

    1. After discussion with Xiao, I believe the tetramer hypothesis of TAZ-TEAD is not correct. Reasons:

      1. There are two TAZ-TEAD binding modes in the structure, 5gn0. And one is similar to the canonical YAP-TEAD structure, albeit TAZ has shorter loop between the alpha helix and omega loop.
      2. the CoIP result just shows that TAZ can form homodimer, which is induced by its coiled-coil segment. And such coiled-coil segament is far from the TEAD binding domain.

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    1. lti-faceted roles in regulating tumorimmunity in addition to their growth-regulatory function

      attention to its role in immune system should be paid

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  6. Dec 2019
  7. Nov 2018

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  8. Mar 2017
  9. Dec 2016
  10. Nov 2016