Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku |
Tero Aittokallio received his PhD in Applied Mathematics from the University of Turku in 2001, under the supervision of Prof. Mats Gyllenberg. He then did his post-doctoral training in the Systems Biology Lab at the Institut Pasteur (2006-2007), with Dr. Benno Schwikowski, where he focused on network biology applications using high-throughput experimental assays and network analysis tools such as Cytoscape. In 2007, Dr. Aittokallio launched his independent career as a principal investigator in the Turku Biomathematics Research Group, where he received a five-year appointment as an Academy of Finland Research Fellow (2007-2012). Tero Aittokallio joined Institute for Molecular Medicine Finland (FIMM) as EMBL Group Leader in the fall of 2011, and was selected as Professor of Statistics and Applied Mathematics at University of Turku in 2015.
Aittokallio's research group focuses on developing and applying integrated computational-experimental approaches to tackle biomedical questions, such as how genes function as interaction networks to carry out and regulate cellular processes, how alterations in these networks contribute to complex traits, such as human diseases, and where and how in the disease network one should target to optimally inhibit the disease phenotypes, such as tumor growth.
Computational statistics.
Scientific computing.
- Patient-derived prostate cancer cells for piloting of drug sensitivity and resistance testing (2015)
- BJU International
- Prediction of human population responses to toxic compounds by a collaborative competition (vol 33, pg 933, 2015) (2015)
- Nature Biotechnology
- Pro-apoptotic functions of AMPK revealed by Myc (2015)
- Molecular Cancer Research
- Protein phosphatase 2A activity is a major determinant of therapy response in cancer cells (2015)
- Cancer Research
- Systematic Mapping of Kinase Addiction Combinations in Breast Cancer Cells by Integrating Drug Sensitivity and Selectivity Profiles (2015)
- Chemistry and Biology
- TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples (2015)
- Bioinformatics
- Toward more realistic drug-target interaction predictions (2015)
- Briefings in Bioinformatics
- What is synergy? The Saariselka agreement revisited (2015)
- Frontiers in Pharmacology
- A community effort to assess and improve drug sensitivity prediction algorithms (2014)
- Nature Biotechnology
- AML Specific Targeted Drugs Identified By Drug Sensitivity and Resistance Testing: Comparison of Ex Vivo Patient Cells with in Vitro Cell Lines (2014)
- Blood
- Analysis of clonal evolution of leukemia in vivo following novel targeted treatments (2014)
- Cancer Research
- A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
- Lecture Notes in Computer Science
- COMPREHENSIVE ASSESSMENT OF BONE MARROW STROMA-DERIVED SOLUBLE FACTORS AND IMPACT ON EX VIVO DRUG SENSITIVITIES OF PRIMARY AML CELLS (2014)
- Haematologica
- Drug set enrichment analysis : A computational approach to identify functional drug sets (2014)
- Cancer Research
- Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis (2014)
- Journal of Chemical Information and Modeling
- Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles (2014)
- Current Pharmaceutical Design
- Novel Lignan and Stilbenoid Mixture Shows Anticarcinogenic Efficacy in Preclinical PC-3M-luc2 Prostate Cancer Model (2014)
- PLoS ONE
- Novel Targeted Therapies for Granulosa Cell Tumors Using High-Throughput Drug Screen of Primary Tumor Cells (2014)
- Reproductive Sciences
- PhosFox: a bioinformatics tool for peptide-level processing of LC-MS/MS-based phosphoproteomic data (2014)
- Proteome Science
- Phosphoproteomics Combined with Quantitative 14-3-3-affinity Capture Identifies SIRT1 and RAI as Novel Regulators of Cytosolic Double-stranded RNA Recognition Pathway (2014)
- Molecular and Cellular Proteomics