Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID-tunniste: 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.
- Phosphoproteome and drug-response effects mediated by the three protein phosphatase 2A inhibitor proteins CIP2A, SET, and PME-1 (2020)
- Journal of Biological Chemistry
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Reinstated p53 response and high anti-T-cell leukemia activity by the novel alkylating deacetylase inhibitor tinostamustine (2020)
- Leukemia
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - RUNX1 mutations in blast-phase chronic myeloid leukemia associate with distinct phenotypes, transcriptional profiles, and drug responses (2020)
- Leukemia
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy (2020)
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - UBR5 Is Coamplified with MYC in Breast Tumors and Encodes an Ubiquitin Ligase That Limits MYC-Dependent Apoptosis (2020)
- Cancer Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Chemogenomic Analysis of the Druggable Kinome and Its Application to Repositioning and Lead Identification Studies (2019)
- Cell Chemical Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - DNMT Inhibitors Increase Methylation in the Cancer Genome (2019)
- Frontiers in Pharmacology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Genome-wide off-targets of drugs: risks and opportunities (2019)
- Cell Biology and Toxicology
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Integrated analysis of drug sensitivity and selectivity to predict synergistic drug combinations and target coaddictions in cancer (2019) Systems Chemical Biology : Methods and protocols Jaiswal Alok, Yadav Bhagwan, Wennerberg Krister, Aittokallio Tero
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - JAK/STAT-Activating Genomic Alterations Are a Hallmark of T-PLL (2019)
- Cancers
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Machine learning and feature selection for drug response prediction in precision oncology applications (2019)
- Biophysical Reviews
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction (2019) Advances in Computational Toxicology Suleiman A. Khan, Tero Aittokallio, Andreas Scherer, Roland Grafström, Pekka Kohonen
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer (2019)
- npj Systems Biology and Applications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Pharmacological reactivation of MYC-dependent apoptosis induces susceptibility to anti-PD-1 immunotherapy (2019)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Phenotypic Screening Combined with Machine Learning for Efficient Identification of Breast Cancer-Selective Therapeutic Targets (2019)
- Cell Chemical Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prediction of drug combination effects with a minimal set of experiments (2019)
- Nature machine intelligence
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Adrenals Contribute to Growth of Castration-Resistant VCaP Prostate Cancer Xenografts (2018)
- American Journal of Pathology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Aggressive natural killer-cell leukemia mutational landscape and drug profiling highlight JAK-STAT signaling as therapeutic target (2018)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Antiandrogens Reduce Intratumoral Androgen Concentrations and Induce Androgen Receptor Expression in Castration-Resistant Prostate Cancer Xenografts (2018)
- American Journal of Pathology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Discovery of novel drug sensitivities in T-PLL by high-throughput ex vivo drug testing and mutation profiling (2018)
- Leukemia
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )