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Cigdem Sevim Bayrak

Showing results (1-10 of 19) with videos related to

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Molecular Biosystems|January 21, 2014
Conformational transitions in the Ramachandran space of amino acids using the dynamic rotational isomeric state (DRIS) modelCigdem Sevim Bayrak, Burak Erman
Human Genetics|May 15, 2020
Identifying disease-causing mutations in genomes of single patients by computational approachesCigdem Sevim Bayrak, Yuval Itan
Molecular Biosystems|September 8, 2012
Predicting most probable conformations of a given peptide sequence in the random coil stateCigdem Sevim Bayrak, Burak Erman
Nucleic Acids Research|February 4, 2017
Using sequence signatures and kink-turn motifs in knowledge-based statistical potentials for RNA structure predictionCigdem Sevim Bayrak, Namhee Kim, Tamar Schlick
Frontiers in Molecular Biosciences|March 12, 2025
Editorial: Machine learning in computer-aided drug designOgnjen Perišić, Cigdem Sevim Bayrak, Mohamed Khaled Gunady
Nucleic Acids Research|August 26, 2015
RAG-3D: a search tool for RNA 3D substructuresMai Zahran, Cigdem Sevim Bayrak, Shereef Elmetwaly, et al.
Frontiers in Genetics|June 10, 2025
Prediction of mild cognitive impairment using blood multi-omics dataDaniel Frank Zhang, Cigdem Sevim Bayrak, Qi Zeng, et al.
Genome Medicine|January 17, 2020
De novo variants in exomes of congenital heart disease patients identify risk genes and pathwaysCigdem Sevim Bayrak, Peng Zhang, Martin Tristani-Firouzi, et al.
Molecular Pharmacology|May 29, 2026
Maraviroc alleviates neuropathic pain symptoms in a mouse model of spared nerve injuryWei Zhao, Cigdem Sevim Bayrak, Fiona Chen, et al.
Gigascience|May 18, 2026
Leveraging Machine Learning and Network Biology Approaches to Predict Brain Gene Expression from Blood TranscriptomesCigdem Sevim Bayrak, Qi Zeng, Marjan Ilkov, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Molecular Biosystems|January 21, 2014
Conformational transitions in the Ramachandran space of amino acids using the dynamic rotational isomeric state (DRIS) modelCigdem Sevim Bayrak, Burak Erman
Human Genetics|May 15, 2020
Identifying disease-causing mutations in genomes of single patients by computational approachesCigdem Sevim Bayrak, Yuval Itan
Molecular Biosystems|September 8, 2012
Predicting most probable conformations of a given peptide sequence in the random coil stateCigdem Sevim Bayrak, Burak Erman
Nucleic Acids Research|February 4, 2017
Using sequence signatures and kink-turn motifs in knowledge-based statistical potentials for RNA structure predictionCigdem Sevim Bayrak, Namhee Kim, Tamar Schlick
Frontiers in Molecular Biosciences|March 12, 2025
Editorial: Machine learning in computer-aided drug designOgnjen Perišić, Cigdem Sevim Bayrak, Mohamed Khaled Gunady
Nucleic Acids Research|August 26, 2015
RAG-3D: a search tool for RNA 3D substructuresMai Zahran, Cigdem Sevim Bayrak, Shereef Elmetwaly, et al.
Frontiers in Genetics|June 10, 2025
Prediction of mild cognitive impairment using blood multi-omics dataDaniel Frank Zhang, Cigdem Sevim Bayrak, Qi Zeng, et al.
Genome Medicine|January 17, 2020
De novo variants in exomes of congenital heart disease patients identify risk genes and pathwaysCigdem Sevim Bayrak, Peng Zhang, Martin Tristani-Firouzi, et al.
Molecular Pharmacology|May 29, 2026
Maraviroc alleviates neuropathic pain symptoms in a mouse model of spared nerve injuryWei Zhao, Cigdem Sevim Bayrak, Fiona Chen, et al.
Gigascience|May 18, 2026
Leveraging Machine Learning and Network Biology Approaches to Predict Brain Gene Expression from Blood TranscriptomesCigdem Sevim Bayrak, Qi Zeng, Marjan Ilkov, et al.
Pageof 2