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Thomas Litfin

Showing results (1-10 of 27) with videos related to

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Renal Failure|August 6, 2016
Non-steroidal anti-inflammatories and the development of analgesic nephropathy: a systematic reviewJulian Yaxley, Thomas Litfin
Bioinformatics (Oxford, England)|January 7, 2017
SPOT-ligand 2: improving structure-based virtual screening by binding-homology search on an expanded structural template libraryThomas Litfin, Yaoqi Zhou, Yuedong Yang
Journal of Chemical Information and Modeling|January 31, 2019
SPOT-Peptide: Template-Based Prediction of Peptide-Binding Proteins and Peptide-Binding SitesThomas Litfin, Yuedong Yang, Yaoqi Zhou
Bioinformatics (Oxford, England)|September 11, 2019
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learningJack Hanson, Thomas Litfin, Kuldip Paliwal, et al.
RNA Biology|November 12, 2022
High-throughput mapping of RNA solvent accessibility at the single-nucleotide resolution by RtcB ligation between a fixed 5'-OH-end linker and unique 3'-P-end fragments from hydroxyl radical cleavageMd Solayman, Thomas Litfin, Yaoqi Zhou, et al.
Genomics, Proteomics & Bioinformatics|March 17, 2020
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep LearningJack Hanson, Kuldip K Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|May 6, 2025
Benchmarking the methods for predicting base pairs in RNA-RNA interactionsMei Lang, Thomas Litfin, Ke Chen, et al.
Scientific Reports|May 9, 2022
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignmentJaspreet Singh, Kuldip Paliwal, Thomas Litfin, et al.
Genomics, Proteomics & Bioinformatics|June 14, 2024
MARS and RNAcmap3: The Master Database of All Possible RNA Sequences Integrated with RNAcmap for RNA Homology SearchKe Chen, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|June 25, 2022
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational couplingJaswinder Singh, Kuldip Paliwal, Thomas Litfin, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Renal Failure|August 6, 2016
Non-steroidal anti-inflammatories and the development of analgesic nephropathy: a systematic reviewJulian Yaxley, Thomas Litfin
Bioinformatics (Oxford, England)|January 7, 2017
SPOT-ligand 2: improving structure-based virtual screening by binding-homology search on an expanded structural template libraryThomas Litfin, Yaoqi Zhou, Yuedong Yang
Journal of Chemical Information and Modeling|January 31, 2019
SPOT-Peptide: Template-Based Prediction of Peptide-Binding Proteins and Peptide-Binding SitesThomas Litfin, Yuedong Yang, Yaoqi Zhou
Bioinformatics (Oxford, England)|September 11, 2019
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learningJack Hanson, Thomas Litfin, Kuldip Paliwal, et al.
RNA Biology|November 12, 2022
High-throughput mapping of RNA solvent accessibility at the single-nucleotide resolution by RtcB ligation between a fixed 5'-OH-end linker and unique 3'-P-end fragments from hydroxyl radical cleavageMd Solayman, Thomas Litfin, Yaoqi Zhou, et al.
Genomics, Proteomics & Bioinformatics|March 17, 2020
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep LearningJack Hanson, Kuldip K Paliwal, Thomas Litfin, et al.
Bioinformatics (Oxford, England)|May 6, 2025
Benchmarking the methods for predicting base pairs in RNA-RNA interactionsMei Lang, Thomas Litfin, Ke Chen, et al.
Scientific Reports|May 9, 2022
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignmentJaspreet Singh, Kuldip Paliwal, Thomas Litfin, et al.
Genomics, Proteomics & Bioinformatics|June 14, 2024
MARS and RNAcmap3: The Master Database of All Possible RNA Sequences Integrated with RNAcmap for RNA Homology SearchKe Chen, Thomas Litfin, Jaswinder Singh, et al.
Bioinformatics (Oxford, England)|June 25, 2022
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational couplingJaswinder Singh, Kuldip Paliwal, Thomas Litfin, et al.
Pageof 3