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Vikram Khipple Mulligan

Showing results (1-10 of 35) with videos related to

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Expert Opinion on Drug Discovery|May 17, 2021
Current directions in combining simulation-based macromolecular modeling approaches with deep learningVikram Khipple Mulligan
Nature Chemistry|March 28, 2026
Machine learning-based prediction of peptide aggregation during chemical synthesisVikram Khipple Mulligan
Proteins|March 20, 2013
Protein misfolding in the late-onset neurodegenerative diseases: common themes and the unique case of amyotrophic lateral sclerosisVikram Khipple Mulligan, Avijit Chakrabartty
Plos Computational Biology|April 30, 2025
Heuristic energy-based cyclic peptide designQiyao Zhu, Vikram Khipple Mulligan, Dennis Shasha
Journal of Molecular Biology|May 10, 2011
ALS-causing SOD1 mutations promote production of copper-deficient misfolded speciesPhilbert Ip, Vikram Khipple Mulligan, Avijit Chakrabartty
Biorxiv : the Preprint Server for Biology|July 15, 2024
Heuristic energy-based cyclic peptide designQiyao Zhu, Vikram Khipple Mulligan, Dennis Shasha
Analytical Biochemistry|November 29, 2011
Analyzing complicated protein folding kinetics rapidly by analytical Laplace inversion using a Tikhonov regularization variantVikram Khipple Mulligan, Kevin Charles Hadley, Avijit Chakrabartty
Journal of Molecular Biology|September 2, 2008
Denaturational stress induces formation of zinc-deficient monomers of Cu,Zn superoxide dismutase: implications for pathogenesis in amyotrophic lateral sclerosisVikram Khipple Mulligan, Aaron Kerman, Sylvia Ho, et al.
Journal of Computational Chemistry|October 29, 2018
A systematic study of minima in alanine dipeptideVladimir Mironov, Yuri Alexeev, Vikram Khipple Mulligan, et al.
Journal of Molecular Biology|December 23, 2009
Conversion of Abeta42 into a folded soluble native-like protein using a semi-random library of amphipathic helicesPharhad Eli Arslan, Vikram Khipple Mulligan, Sylvia Ho, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Expert Opinion on Drug Discovery|May 17, 2021
Current directions in combining simulation-based macromolecular modeling approaches with deep learningVikram Khipple Mulligan
Nature Chemistry|March 28, 2026
Machine learning-based prediction of peptide aggregation during chemical synthesisVikram Khipple Mulligan
Proteins|March 20, 2013
Protein misfolding in the late-onset neurodegenerative diseases: common themes and the unique case of amyotrophic lateral sclerosisVikram Khipple Mulligan, Avijit Chakrabartty
Plos Computational Biology|April 30, 2025
Heuristic energy-based cyclic peptide designQiyao Zhu, Vikram Khipple Mulligan, Dennis Shasha
Journal of Molecular Biology|May 10, 2011
ALS-causing SOD1 mutations promote production of copper-deficient misfolded speciesPhilbert Ip, Vikram Khipple Mulligan, Avijit Chakrabartty
Biorxiv : the Preprint Server for Biology|July 15, 2024
Heuristic energy-based cyclic peptide designQiyao Zhu, Vikram Khipple Mulligan, Dennis Shasha
Analytical Biochemistry|November 29, 2011
Analyzing complicated protein folding kinetics rapidly by analytical Laplace inversion using a Tikhonov regularization variantVikram Khipple Mulligan, Kevin Charles Hadley, Avijit Chakrabartty
Journal of Molecular Biology|September 2, 2008
Denaturational stress induces formation of zinc-deficient monomers of Cu,Zn superoxide dismutase: implications for pathogenesis in amyotrophic lateral sclerosisVikram Khipple Mulligan, Aaron Kerman, Sylvia Ho, et al.
Journal of Computational Chemistry|October 29, 2018
A systematic study of minima in alanine dipeptideVladimir Mironov, Yuri Alexeev, Vikram Khipple Mulligan, et al.
Journal of Molecular Biology|December 23, 2009
Conversion of Abeta42 into a folded soluble native-like protein using a semi-random library of amphipathic helicesPharhad Eli Arslan, Vikram Khipple Mulligan, Sylvia Ho, et al.
Pageof 4