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Connection

Nese Kurt Yilmaz to Darunavir

This is a "connection" page, showing publications Nese Kurt Yilmaz has written about Darunavir.
Connection Strength

0.566
  1. Lockbaum GJ, Henes M, Talledge N, Rusere LN, Kosovrasti K, Nalivaika EA, Somasundaran M, Ali A, Mansky LM, Kurt Yilmaz N, Schiffer CA. Inhibiting HTLV-1 Protease: A Viable Antiviral Target. ACS Chem Biol. 2021 03 19; 16(3):529-538.
    View in: PubMed
    Score: 0.176
  2. Henes M, Lockbaum GJ, Kosovrasti K, Leidner F, Nachum GS, Nalivaika EA, Lee SK, Spielvogel E, Zhou S, Swanstrom R, Bolon DNA, Kurt Yilmaz N, Schiffer CA. Picomolar to Micromolar: Elucidating the Role of Distal Mutations in HIV-1 Protease in Conferring Drug Resistance. ACS Chem Biol. 2019 11 15; 14(11):2441-2452.
    View in: PubMed
    Score: 0.159
  3. Paulsen JL, Leidner F, Ragland DA, Kurt Yilmaz N, Schiffer CA. Interdependence of Inhibitor Recognition in HIV-1 Protease. J Chem Theory Comput. 2017 May 09; 13(5):2300-2309.
    View in: PubMed
    Score: 0.135
  4. Rusere LN, Lockbaum GJ, Henes M, Lee SK, Spielvogel E, Rao DN, Kosovrasti K, Nalivaika EA, Swanstrom R, Kurt Yilmaz N, Schiffer CA, Ali A. Structural Analysis of Potent Hybrid HIV-1 Protease Inhibitors Containing Bis-tetrahydrofuran in a Pseudosymmetric Dipeptide Isostere. J Med Chem. 2020 08 13; 63(15):8296-8313.
    View in: PubMed
    Score: 0.042
  5. Ragland DA, Nalivaika EA, Nalam MN, Prachanronarong KL, Cao H, Bandaranayake RM, Cai Y, Kurt-Yilmaz N, Schiffer CA. Drug resistance conferred by mutations outside the active site through alterations in the dynamic and structural ensemble of HIV-1 protease. J Am Chem Soc. 2014 Aug 27; 136(34):11956-63.
    View in: PubMed
    Score: 0.028
  6. Mittal S, Bandaranayake RM, King NM, Prabu-Jeyabalan M, Nalam MN, Nalivaika EA, Yilmaz NK, Schiffer CA. Structural and thermodynamic basis of amprenavir/darunavir and atazanavir resistance in HIV-1 protease with mutations at residue 50. J Virol. 2013 Apr; 87(8):4176-84.
    View in: PubMed
    Score: 0.025
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.