Tero Aittokallio

Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles (2014)

Current Pharmaceutical Design

Tang J, Aittokallio T

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

PhosFox: a bioinformatics tool for peptide-level processing of LC-MS/MS-based phosphoproteomic data (2014)

Proteome Science

Soderholm S, Hintsanen P, Ohman T, Aittokallio T, Nyman TA

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

AML Specific Targeted Drugs Identified By Drug Sensitivity and Resistance Testing: Comparison of Ex Vivo Patient Cells with in Vitro Cell Lines (2014)

Blood

Malani D, Murumagi A, Yadav B, Pemovska T, Mpindi JP, Kontro M, Aittokallio T, Heckman CA, Porkka K, Wennerberg K, Wolf M, Kallioniemi O

(Muu (O2))

COMPREHENSIVE ASSESSMENT OF BONE MARROW STROMA-DERIVED SOLUBLE FACTORS AND IMPACT ON EX VIVO DRUG SENSITIVITIES OF PRIMARY AML CELLS (2014)

Haematologica

Karjalainen R, Majumder MM, Pemovska T, Kontro M, Gjertsen BT, Parsons A, Suvela M, Yadav B, Aittokallio T, Porkka K, Kallioniemi O, Wennerberg K, Heckman C

(Muu (O2))

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

The European Conferences on Machine Learning (ECML) and on Principles and Practice of Knowledge Discovery in Data Bases (PKDD), Lecture Notes in Computer Science

Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Novel Lignan and Stilbenoid Mixture Shows Anticarcinogenic Efficacy in Preclinical PC-3M-luc2 Prostate Cancer Model (2014)

PLoS ONE

Yatkin E, Polari L, Laajala TD, Smeds A, Eckerman C, Holmbom B, Saarinen N, Aittokallio T, Mäkelä S.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Anticancer compound ABT-263 accelerates apoptosis in virus-infected cells and imbalances cytokine production and lowers survival rates of infected mice (2013)

Cell Death and Disease

Kakkola L, Denisova OV, Tynell J, Viiliainen J, Ysenbaert T, Matos RC, Nagaraj A, Ohman T, Kuivanen S, Paavilainen H, Feng L, Yadav B, Julkunen I, Vapalahti O, Hukkanen V, Stenman J, Aittokallio T, Verschuren EW, Ojala PM, Nyman T, Saelens X, Dzeyk K, Kainov DE

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways (2013)

PLoS Computational Biology

Tang J, Karhinen L, Xu T, Szwajda A, Yadav B, Wennerberg K, Aittokallio T

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Predicting drug-target interactions through integrative analysis of chemogenetic assays in yeast (2013)

Molecular BioSystems

Marja A Heiskanen, Tero Aittokallio

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Functional drug sensitivity and resistance profiling of AML patient cells defines a disease-specific combination of druggable signal addictions (2013)

Cancer Research

Pemovska T, Yadav B, Karjalainen R, Kulesskiy E, Kontro M, Majumder MM, Turunen L, Lindenschmidt I, Lehto A, Knowles J, Heckman C, Porkka K, Aittokallio T, Kallioniemi O, Wennerberg K

(Muu (O2))

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Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles (2014)

PhosFox: a bioinformatics tool for peptide-level processing of LC-MS/MS-based phosphoproteomic data (2014)

AML Specific Targeted Drugs Identified By Drug Sensitivity and Resistance Testing: Comparison of Ex Vivo Patient Cells with in Vitro Cell Lines (2014)

COMPREHENSIVE ASSESSMENT OF BONE MARROW STROMA-DERIVED SOLUBLE FACTORS AND IMPACT ON EX VIVO DRUG SENSITIVITIES OF PRIMARY AML CELLS (2014)

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)

Novel Lignan and Stilbenoid Mixture Shows Anticarcinogenic Efficacy in Preclinical PC-3M-luc2 Prostate Cancer Model (2014)

Anticancer compound ABT-263 accelerates apoptosis in virus-infected cells and imbalances cytokine production and lowers survival rates of infected mice (2013)

Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways (2013)

Predicting drug-target interactions through integrative analysis of chemogenetic assays in yeast (2013)

Functional drug sensitivity and resistance profiling of AML patient cells defines a disease-specific combination of druggable signal addictions (2013)