Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID identifier: https://orcid.org/orcid.org/0000-0002-0886-9769 |
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.
- (2015)
- Molecular OncologyBlood
(A1 Refereed original research article in a scientific journal) - (2015)
- Cancer ResearchCancer Research
(Other publication) - (2015)
- BJU InternationalLecture Notes in Computer Science
(Other publication) - Protein phosphatase 2A activity is a major determinant of therapy response in cancer cells (2015)
- Nature Biotechnology
(Other publication) - Pro-apoptotic functions of AMPK revealed by Myc (2015)
- Molecular Cancer ResearchHaematologica
(Other publication) - (2015)
- Cancer Research
(Other publication) - Systematic Mapping of Kinase Addiction Combinations in Breast Cancer Cells by Integrating Drug Sensitivity and Selectivity Profiles (2015)
- Chemistry and Biology
(A1 Refereed original research article in a scientific journal) - TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples (2015)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Toward more realistic drug-target interaction predictions (2015)
- Briefings in Bioinformatics
(A1 Refereed original research article in a scientific journal) - What is synergy? The Saariselka agreement revisitedA community effort to assess and improve drug sensitivity prediction algorithms (2015)
- Frontiers in PharmacologyNature Biotechnology
(A2 Refereed review article in a scientific journal ) - AML Specific Targeted Drugs Identified By Drug Sensitivity and Resistance Testing: Comparison of Ex Vivo Patient Cells with in Vitro Cell Lines (2014)
(A1 Refereed original research article in a scientific journal) - Analysis of clonal evolution of leukemia in vivo following novel targeted treatments (2014)
(Other publication) - A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
(Other publication) - 2014
(A4 Refereed article in a conference publication ) - COMPREHENSIVE ASSESSMENT OF BONE MARROW STROMA-DERIVED SOLUBLE FACTORS AND IMPACT ON EX VIVO DRUG SENSITIVITIES OF PRIMARY AML CELLS (2014)
(Other publication) - Drug set enrichment analysis : A computational approach to identify functional drug sets (2014)
- Cancer Research
(Other publication) - Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis (2014)
- Journal of Chemical Information and Modeling
(A1 Refereed original research article in a scientific journal) - Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles (2014)
- Current Pharmaceutical Design
(A1 Refereed original research article in a scientific journal) - (2014)
- PLoS ONEReproductive Sciences
(A1 Refereed original research article in a scientific journal) - Novel Targeted Therapies for Granulosa Cell Tumors Using High-Throughput Drug Screen of Primary Tumor Cells (2014)
(Other publication)



