Search research articles
Contact Us
Filters
Showing results (1-10 of 12) with videos related to
Page
of 2
Sort By:
Progress in Molecular Biology and Translational Science
|
September 16, 2019
Computational prediction of functions of intrinsically disordered regions
Akila Katuwawala, Sina Ghadermarzi, Lukasz Kurgan
Bioinformatics (Oxford, England)
|
August 30, 2020
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins
Jian Zhang, Sina Ghadermarzi, Lukasz Kurgan
Computational and Structural Biotechnology Journal
|
January 12, 2024
Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins
Bi Zhao, Sina Ghadermarzi, Lukasz Kurgan
Bioinformatics (Oxford, England)
|
July 11, 2021
XRRpred: accurate predictor of crystal structure quality from protein sequence
Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, et al.
Briefings in Bioinformatics
|
August 20, 2021
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences
Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, et al.
Frontiers in Genetics
|
December 6, 2019
Sequence-Derived Markers of Drug Targets and Potentially Druggable Human Proteins
Sina Ghadermarzi, Xingyi Li, Min Li, et al.
Biology Methods & Protocols
|
March 4, 2026
Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules
Cheng Cao, Jay Pillai, Sara Daraei, et al.
Computational and Structural Biotechnology Journal
|
May 24, 2021
QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores
Akila Katuwawala, Sina Ghadermarzi, Gang Hu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 5, 2019
Disordered Function Conjunction: On the in-silico function annotation of intrinsically disordered regions
Sina Ghadermarzi, Akila Katuwawala, Christopher J Oldfield, et al.
Nature Communications
|
July 22, 2021
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Gang Hu, Akila Katuwawala, Kui Wang, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Progress in Molecular Biology and Translational Science
|
September 16, 2019
Computational prediction of functions of intrinsically disordered regions
Akila Katuwawala, Sina Ghadermarzi, Lukasz Kurgan
Bioinformatics (Oxford, England)
|
August 30, 2020
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins
Jian Zhang, Sina Ghadermarzi, Lukasz Kurgan
Computational and Structural Biotechnology Journal
|
January 12, 2024
Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins
Bi Zhao, Sina Ghadermarzi, Lukasz Kurgan
Bioinformatics (Oxford, England)
|
July 11, 2021
XRRpred: accurate predictor of crystal structure quality from protein sequence
Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, et al.
Briefings in Bioinformatics
|
August 20, 2021
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences
Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, et al.
Frontiers in Genetics
|
December 6, 2019
Sequence-Derived Markers of Drug Targets and Potentially Druggable Human Proteins
Sina Ghadermarzi, Xingyi Li, Min Li, et al.
Biology Methods & Protocols
|
March 4, 2026
Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules
Cheng Cao, Jay Pillai, Sara Daraei, et al.
Computational and Structural Biotechnology Journal
|
May 24, 2021
QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores
Akila Katuwawala, Sina Ghadermarzi, Gang Hu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 5, 2019
Disordered Function Conjunction: On the in-silico function annotation of intrinsically disordered regions
Sina Ghadermarzi, Akila Katuwawala, Christopher J Oldfield, et al.
Nature Communications
|
July 22, 2021
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Gang Hu, Akila Katuwawala, Kui Wang, et al.
Page
of 2