Autor der Publikation

LEAP: Highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chains.

, , und . J. Comput. Chem., 35 (4): 335-341 (2014)

Bitte wählen Sie eine Person um die Publikation zuzuordnen

Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

 

Weitere Publikationen von Autoren mit dem selben Namen

DDIG-in: detecting disease-causing genetic variations due to frameshifting indels and nonsense mutations employing sequence and structural properties at nucleotide and protein levels., , , , , , , , und . Bioinform., 31 (10): 1599-1606 (2015)Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins., , , , , , , , und . Bioinform., 32 (6): 843-849 (2016)Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network., , , , , , , und . J. Comput. Chem., 35 (28): 2040-2046 (2014)Effective protein conformational sampling based on predicted torsion angles., und . J. Comput. Chem., 37 (11): 976-980 (2016)Web-based toolkits for topology prediction of transmembrane helical proteins, fold recognition, structure and binding scoring, folding-kinetics analysis and comparative analysis of domain combinations., , , und . Nucleic Acids Res., 33 (Web-Server-Issue): 193-197 (2005)Predicting lysine-malonylation sites of proteins using sequence and predicted structural features., , , , , und . J. Comput. Chem., 39 (22): 1757-1763 (2018)DescribePROT: database of amino acid-level protein structure and function predictions., , , , , , , , , und 4 andere Autor(en). Nucleic Acids Res., 49 (Database-Issue): D298-D308 (2021)De novo protein design by an energy function based on series expansion in distance and orientation dependence., , , und . Bioinform., 38 (1): 86-93 (2021)Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling., , , , und . Bioinform., 38 (16): 3900-3910 (2022)Structure-based prediction of protein- peptide binding regions using Random Forest., , , und . Bioinform., 34 (3): 477-484 (2018)