User profile

Lukasz Pawel Kozlowski

Lukasz Pawel Kozlowski

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Member since: April 10, 2007

Scientist working in computational biology (proteomics, protein structural biology, NGS, bioinformatics, etc.), moonlighting in scientometrics.

Current address

Institute of Informatics, University of Warsaw
Banacha 2
Warsaw, Mazovian
Poland

Education

Ph.D. in Biochemistry (Bioinformatics)
Institute of Biochemistry and Biophysics of the Polish Academy of Science
2008 — 2013
BSc in Computer Science
Jan Kochanowski University of Humanities and Sciences
2005 — 2007
MSc in Biology (Genetics)
Jan Kochanowski University of Humanities and Sciences
2004 — 2006

Experience

Assistant Professor
Institute of Informatics, University of Warsaw
2018
CEO & Owner
Solid Scientometrics
2018
Postdoctoral Researcher
Max Planck Institute for Biophysical Chemistry, Goettingen, Germany
2015 — 2017

Skills

  • machine learning: deep learning, ANN, SVM, genetic algorithms, optimisation
  • programming languages: PYTHON, R, C++, C, Java, shell
  • databases: MySQL, PostgreSQL
  • Internet: HTML, PHP, Zope, Django, Apache, JavaScript
  • in-depth knowledge of bioinformatics programs (e.g. BLAST, HHSearch, ClustalW, MAFFT, UCSD Chimera, VMD, Modeller, MEME, and few hundred others)

Activities

  • International Society for Computational Biology (ISCB)
  • Polish Bioinformatics Society (PTBI)
  • Polish Biochemical Society (PTBioch)
  • Society for Bioinformatics in Northern Europe (SocBiN)

Interests

  • development of bioinformatics tools for protein and RNA
  • next-generation sequencing (NGS) data analysis
  • proteomics
  • protein structure modeling
  • intrinsic protein disorder and its function in biological systems

References

Kozlowski LP, Bujnicki JM MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins. BMC Bioinformatics 2012; 13:111. doi: 10.1186/1471-2105-13-11

Kozlowski LP IPC - Isoelectric Point Calculator. Biology Direct 2016; 11:55. doi: 10.1186/s13062-016-0159-9

Kozlowski LP Proteome-pI: Proteome Isoelectric Point Database. Nucleic Acids Res. 2017; 45 (D1): D1112-D1116

Kozlowski LP IPC 2.0 -- prediction of isoelectric point and pKa dissociation constants. Nucleic Acids Res. 2021; doi: 10.1093/nar/gkab295

Erijman A, Kozlowski L, et al. A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning. Molecular Cell; 78, 1--13. doi: 10.1016/j.molcel.2020.04.020

Other

Personal website: http://bioinformatics.netmark.pl/

URL to updated CV: http://goo.gl/JgTHzC

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Submitted by Lukasz Pawel Kozlowski; posted on Thursday, May 27, 2021

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