dr hab. Łukasz Kozłowski adiunkt
Wydział Matematyki, Informatyki i Mechaniki
Dyscyplina naukowa:
nauki biologiczne, informatyka
Zainteresowania badawcze:
Biologia komputerowa (bioinformatyka, proteomika, biologia strukturalna, sekwencjonowanie, itp.):
- uczenie maszynowe (deep learning, ANN, SVM, algorytmy genetyczne)
- rozwój narzędzi i baz danych bioinformatycznych
- regiony nieuporządkowane białek
- analiza danych z sekwencjonowania (NGS)
- znaczenie polimorfizmu nukleotydów (SNP)
- bioinformatyka strukturalna i obliczeniowa
- modeleowanie struktur białek
- analiza sekwencji białek i RNA
Strona domowa: http://bioinformatics.netmark.pl/
description of research interests:
Working in computational biology (proteomics, protein structural biology, NGS, bioinformatics, etc.):
- advanced machine learning (deep learning, ANN, SVM, genetic algorithms)
- development of bioinformatics tools for protein and RNA
- intrinsic protein disorder and its function in biological systems
- next-generation sequencing (NGS) data analysis
- single nucleotide polymorphism (SNP) influence on human diseases
- structural bioinformatics and structural biology
- protein structure modeling
- protein and RNA sequence analysis
Homepage: http://bioinformatics.netmark.pl/
Realizowane projekty:
Finished projects:
- Proteome-pI 2.0 - isoelectricpointdb2.mimuw.edu.pl - Proteome Isoelectric Point Database 2.0 (the data for 61 million sequences from 20,115 proteomes) the publication cited >20 times since 2022
- IPC 2.0 - ipc2.mimuw.edu.pl - prediction of isoelectric point and pKa dissociation constants using deep learning and SVR, cited >80 times since 2021
- Proteome-pI - isoelectricpointdb.org - Proteome Isoelectric Point Database (the database contains the data for >21 million sequences from 5,029 proteomes calculated by 18 methods, cited >250 times since 2016)
- IPC - isoelectric.org - Isoelectric Point Calculator, the publication cited >350 times since 2016
- MetaDisorder - iimcb.genesilico.pl/metadisorder - prediction of intrinsic disorder in proteins (the best method according to CASP beating >20 other methods for protein disorder prediction in a blind test, cited >350 times since 2012
For the list of ongoing (open) projects see apd.uw.edu.pl/users/363336/
research projects implemented:
Finished projects:
- Proteome-pI 2.0 - isoelectricpointdb2.mimuw.edu.pl - Proteome Isoelectric Point Database 2.0 (the data for 61 million sequences from 20,115 proteomes) the publication cited >20 times since 2022
- IPC 2.0 - ipc2.mimuw.edu.pl - prediction of isoelectric point and pKa dissociation constants using deep learning and SVR, cited >80 times since 2021
- Proteome-pI - isoelectricpointdb.org - Proteome Isoelectric Point Database (the database contains the data for >21 million sequences from 5,029 proteomes calculated by 18 methods, cited >250 times since 2016)
- IPC - isoelectric.org - Isoelectric Point Calculator, the publication cited >350 times since 2016
- MetaDisorder - iimcb.genesilico.pl/metadisorder - prediction of intrinsic disorder in proteins (the best method according to CASP beating >20 other methods for protein disorder prediction in a blind test, cited >350 times since 2012
For the list of ongoing (open) projects see apd.uw.edu.pl/users/363336/
Słowa kluczowe:
SI, bioinformatyka, biologia komputerowa, głębokie sieci neuronowe, serwisy internetowe, bazy danych, algorytmika, uczenia maszynowe, genomika
Słowa kluczowe:
AI, bioinformatics, computational biology, deep learning, web servers, databases, algorithmics, machine learning, NGS, proteins, modelling, proteomics
Kontakt:
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