Connection
Srinivas Ramachandran to Molecular Dynamics Simulation
This is a "connection" page, showing publications Srinivas Ramachandran has written about Molecular Dynamics Simulation.
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Connection Strength |
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0.180 |
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Eniyan K, Rani J, Ramachandran S, Bhat R, Khan IA, Bajpai U. Screening of Antitubercular Compound Library Identifies Inhibitors of Mur Enzymes in Mycobacterium tuberculosis. SLAS Discov. 2020 01; 25(1):70-78.
Score: 0.039
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Alemasov NA, Ivanisenko NV, Taneja B, Taneja V, Ramachandran S, Ivanisenko VA. Improved regression model to predict an impact of SOD1 mutations on ALS patients survival time based on analysis of hydrogen bond stability. J Mol Graph Model. 2019 01; 86:247-255.
Score: 0.036
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Jang H, Arce FT, Lee J, Gillman AL, Ramachandran S, Kagan BL, Lal R, Nussinov R. Computational Methods for Structural and Functional Studies of Alzheimer's Amyloid Ion Channels. Methods Mol Biol. 2016; 1345:251-68.
Score: 0.030
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Henikoff S, Ramachandran S, Krassovsky K, Bryson TD, Codomo CA, Brogaard K, Widom J, Wang JP, Henikoff JG. The budding yeast Centromere DNA Element II wraps a stable Cse4 hemisome in either orientation in vivo. Elife. 2014 Apr 15; 3:e01861.
Score: 0.026
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Jang H, Arce FT, Ramachandran S, Kagan BL, Lal R, Nussinov R. Familial Alzheimer's disease Osaka mutant (?E22) ?-barrels suggest an explanation for the different A?1-40/42 preferred conformational states observed by experiment. J Phys Chem B. 2013 Oct 03; 117(39):11518-29.
Score: 0.025
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Connelly L, Jang H, Arce FT, Ramachandran S, Kagan BL, Nussinov R, Lal R. Effects of point substitutions on the structure of toxic Alzheimer's ?-amyloid channels: atomic force microscopy and molecular dynamics simulations. Biochemistry. 2012 Apr 10; 51(14):3031-8.
Score: 0.023
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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.
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