Predicting interaction-specific protein–protein interaction perturbations by missense variants with MutPred-PPI

Ross Stewart1*, Matthew Mort2, Kerstin Spirohn-Fitzgerald3, Marc Vidal3, Florent Laval3, Georges Coppin3, David Cooper2, Michael Calderwood3, Predrag Radivojac4, Maxime Tixhon3 and Tong Hao3

1Khoury College of Computer Sciences, Northeastern University

2Institute of Medical Genetics, School of Medicine, Cardiff University

3Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute

4Khoury College of Computer Sciences, Northeastern University, Boston MA, USA

EffRank: a bioinformatics scoring pipeline for prioritizing novel type III secreted effectors in the Pseudomonas syringae species complex

Iva Rosić1,2*, Marina Sokić1,2, Tamara Ranković2,3, Olja Medić2,3, Tanja Berić1,2,3, Slaviša Stanković2,3 and Ivan Nikolić2,3

1Institute of Physics Belgrade

2Center for Pathogen Biocontrol and Plant Growth Promotion - Faculty of Biology, University of Belgrade

3Faculty of Biology, University of Belgrade

Metaplasia as a transitional cell-of-origin state revealed by epigenome-informed cancer prediction

Mohamad D. Bairakdar1, Wooseung Lee1, Bruno Giotti1, Akhil Kumar1, Paula Stancl2*, Elvin Wagenblast3, Dolores Hambardzumyan3, Paz Polak4, Rosa Karlic2 and Alexander M. Tsankov1

1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA Lipschultz Precision Immunology Institute, ISMMS, New York, NY, USA Tisch Cancer Institute, ISMMS, New York, NY, USA

2Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia

3Tisch Cancer Institute, ISMMS, New York, NY, USA

4Haystack Oncology, Quest Diagnostics, Baltimore, MD, USA

Long-range chromatin interaction dynamics and molecular aging signatures in schizophrenia

Kirill Ulianov1*, Maria Molodova1, Diana Zagirova2, Kirill Morozov1, Polina Morozova3, Olga Efimova4, Sergey Ulianov5, Sergey Razin5, Philipp Khaitovich4 and Ekaterina Khrameeva1

1Center for Bio- and Medical Technologies, Skoltech, Moscow, Russia

2Institute for Information Transmission Problems (the Kharkevich Institute), Russian Academy of Sciences, Moscow, Russia

3Moscow Institute of Psychoanalysis, Moscow, Russia

4Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skoltech, Moscow, Russia

5Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia

Rare variant pharmacogenomic analysis identifies pathways associated with vedolizumab response in Crohn’s disease patients

Biljana Stankovic1*, Aleksandar Toplicanin2, Bojan Ristivojevic1, Vladimir Gasic1, Ivana Grubisa1, Branka Zukic1, Aleksandra Sokic Milutinovic2,3 and Sonja Pavlovic1

1Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Serbia

2Clinic for Gastroenterohepatology, University Clinical Center of Serbia

3School of Medicine, University of Belgrade