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Connection

Igor Kaltashov to Solutions

This is a "connection" page, showing publications Igor Kaltashov has written about Solutions.
Connection Strength

0.596
  1. Niu C, Zhao Y, Bobst CE, Savinov SN, Kaltashov IA. Identification of Protein Recognition Elements within Heparin Chains Using Enzymatic Foot-Printing in Solution and Online SEC/MS. Anal Chem. 2020 06 02; 92(11):7565-7573.
    View in: PubMed
    Score: 0.170
  2. Abzalimov RR, Frimpong AK, Kaltashov IA. Detection and characterization of large-scale protein conformational transitions in solution using charge-state distribution analysis in ESI-MS. Methods Mol Biol. 2012; 896:365-73.
    View in: PubMed
    Score: 0.095
  3. Griffith WP, Kaltashov IA. Protein conformational heterogeneity as a binding catalyst: ESI-MS study of hemoglobin H formation. Biochemistry. 2007 Feb 20; 46(7):2020-6.
    View in: PubMed
    Score: 0.068
  4. Kaltashov IA, Mohimen A. Estimates of protein surface areas in solution by electrospray ionization mass spectrometry. Anal Chem. 2005 Aug 15; 77(16):5370-9.
    View in: PubMed
    Score: 0.061
  5. Eyles SJ, Kaltashov IA. Methods to study protein dynamics and folding by mass spectrometry. Methods. 2004 Sep; 34(1):88-99.
    View in: PubMed
    Score: 0.057
  6. Mohimen A, Dobo A, Hoerner JK, Kaltashov IA. A chemometric approach to detection and characterization of multiple protein conformers in solution using electrospray ionization mass spectrometry. Anal Chem. 2003 Aug 15; 75(16):4139-47.
    View in: PubMed
    Score: 0.053
  7. Kaltashov IA, Eyles SJ. Crossing the phase boundary to study protein dynamics and function: combination of amide hydrogen exchange in solution and ion fragmentation in the gas phase. J Mass Spectrom. 2002 Jun; 37(6):557-65.
    View in: PubMed
    Score: 0.049
  8. Eyles SJ, Dresch T, Gierasch LM, Kaltashov IA. Unfolding dynamics of a beta-sheet protein studied by mass spectrometry. J Mass Spectrom. 1999 Dec; 34(12):1289-95.
    View in: PubMed
    Score: 0.041
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.