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Connection

Sunhwan Jo to Ligands

This is a "connection" page, showing publications Sunhwan Jo has written about Ligands.
Connection Strength

0.666
  1. Computational Characterization of Antibody-Excipient Interactions for Rational Excipient Selection Using the Site Identification by Ligand Competitive Saturation-Biologics Approach. Mol Pharm. 2020 11 02; 17(11):4323-4333.
    View in: PubMed
    Score: 0.163
  2. CHARMM-GUI 10 years for biomolecular modeling and simulation. J Comput Chem. 2017 06 05; 38(15):1114-1124.
    View in: PubMed
    Score: 0.125
  3. CHARMM-GUI PDB manipulator for advanced modeling and simulations of proteins containing nonstandard residues. Adv Protein Chem Struct Biol. 2014; 96:235-65.
    View in: PubMed
    Score: 0.107
  4. CHARMM-GUI Ligand Binder for absolute binding free energy calculations and its application. J Chem Inf Model. 2013 Jan 28; 53(1):267-77.
    View in: PubMed
    Score: 0.095
  5. Toward Biotherapeutics Formulation Composition Engineering using Site-Identification by Ligand Competitive Saturation (SILCS). J Pharm Sci. 2021 03; 110(3):1103-1110.
    View in: PubMed
    Score: 0.041
  6. Identification and characterization of fragment binding sites for allosteric ligand design using the site identification by ligand competitive saturation hotspots approach (SILCS-Hotspots). Biochim Biophys Acta Gen Subj. 2020 04; 1864(4):129519.
    View in: PubMed
    Score: 0.039
  7. Optimization and Evaluation of Site-Identification by Ligand Competitive Saturation (SILCS) as a Tool for Target-Based Ligand Optimization. J Chem Inf Model. 2019 06 24; 59(6):3018-3035.
    View in: PubMed
    Score: 0.037
  8. Exploring protein-protein interactions using the site-identification by ligand competitive saturation methodology. Proteins. 2019 04; 87(4):289-301.
    View in: PubMed
    Score: 0.036
  9. Application of binding free energy calculations to prediction of binding modes and affinities of MDM2 and MDMX inhibitors. J Chem Inf Model. 2012 Jul 23; 52(7):1821-32.
    View in: PubMed
    Score: 0.023
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.