2023 - Research.com Biology and Biochemistry in Poland Leader Award
2022 - Research.com Biology and Biochemistry in Poland Leader Award
His primary areas of investigation include Bioinformatics, LiveBench, Data mining, CAFASP and Protein structure. Leszek Rychlewski interconnects Computational biology, Multiple sequence alignment, Sequence alignment and Artificial intelligence in the investigation of issues within Bioinformatics. His research on LiveBench concerns the broader Protein structure prediction.
As part of the same scientific family, Leszek Rychlewski usually focuses on Protein structure prediction, concentrating on Machine learning and intersecting with Snapshot. His CAFASP research focuses on Server and how it relates to Database. His Protein structure research includes elements of Sequence analysis and Protein methods.
His main research concerns Genetics, Computational biology, Peptide sequence, Protein structure and Protein structure prediction. Leszek Rychlewski works mostly in the field of Computational biology, limiting it down to topics relating to Bioinformatics and, in certain cases, Protein sequencing. Leszek Rychlewski has researched Peptide sequence in several fields, including Restriction enzyme and Active site.
His Protein structure research includes themes of Protein Data Bank and Protein folding. Leszek Rychlewski studied Protein structure prediction and Machine learning that intersect with 3D-Jury. His work deals with themes such as Server, Data mining and Artificial intelligence, which intersect with LiveBench.
The scientist’s investigation covers issues in Computational biology, Genetics, Biochemistry, Genome and Enzyme. Leszek Rychlewski has included themes like Transcription factor II A, Neuroscience, Transcription factor II D and TAF2 in his Computational biology study. Leszek Rychlewski merges Genetics with Architecture domain in his research.
As a part of the same scientific study, he usually deals with the Biochemistry, concentrating on Stereochemistry and frequently concerns with Binding site, Active site and Thermostability. His study deals with a combination of Genome and Thalassiosira pseudonana. He works in the field of Peptide sequence, namely Sequence alignment.
Biochemistry, Stereochemistry, Phenylacetone monooxygenase, Mixed Function Oxygenases and Peptide sequence are his primary areas of study. His Stereochemistry research incorporates elements of Squalene monooxygenase, Saccharomyces cerevisiae, Yeast and Enzyme. His Phenylacetone monooxygenase research overlaps with other disciplines such as Sequence analysis, Rhodococcus, Genome, Sequence motif and Thermostability.
Sequence analysis is closely attributed to Computational biology in his work. The various areas that Leszek Rychlewski examines in his Computational biology study include Data mining and Ligand. His work on Sequence alignment as part of his general Peptide sequence study is frequently connected to Architecture domain, thereby bridging the divide between different branches of science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Phaeodactylum genome reveals the evolutionary history of diatom genomes
Chris Bowler;Andrew E. Allen;Andrew E. Allen;Jonathan H. Badger;Jane Grimwood.
3D-Jury: a simple approach to improve protein structure predictions
Krzysztof Ginalski;Arne Elofsson;Daniel Fischer;Leszek Rychlewski.
ELM server: a new resource for investigating short functional sites in modular eukaryotic proteins
Pål Puntervoll;Rune Linding;Christine Gemünd;Sophie Chabanis-Davidson.
Nucleic Acids Research (2003)
Comparison of sequence profiles. Strategies for structural predictions using sequence information.
Leszek Rychlewski;Lukasz Jaroszewski;Weizhong Li;Adam Godzik.
Protein Science (2008)
FFAS03 : a server for profile-profile sequence alignments
Lukasz Jaroszewski;Leszek Rychlewski;Zhanwen Li;Weizhong Li.
Nucleic Acids Research (2005)
MaxSub: an automated measure for the assessment of protein structure prediction quality.
Naomi Siew;Arne Elofsson;Leszek Rychlewski;Daniel Fischer.
german conference on bioinformatics (2000)
Pcons: a neural-network-based consensus predictor that improves fold recognition.
Jesper Lundström;Leszek Rychlewski;Janusz Bujnicki;Arne Elofsson.
Protein Science (2008)
XtalPred: a web server for prediction of protein crystallizability.
Lukasz Slabinski;Lukasz Jaroszewski;Leszek Rychlewski;Ian A. Wilson.
Alphaherpesvirinae and Gammaherpesvirinae glycoprotein L and CMV UL130 originate from chemokines
Maja Malkowska;Katarzyna Kokoszynska;Magdalena Dymecka;Leszek Rychlewski.
Virology Journal (2013)
ELM: the status of the 2010 eukaryotic linear motif resource
Cathryn M. Gould;Francesca Diella;Allegra Via;Pål Puntervoll.
Nucleic Acids Research (2010)
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