B. Szalai

发表

Community assessment of cancer drug combination screens identifies strategies for synergy prediction

Tin Chi Nguyen, Robert M. Vogel, M. Zaslavskiy, 2017, bioRxiv.

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

Robert M. Vogel, M. Zaslavskiy, Y. Guan, 2018 .

Transfer of regulatory knowledge from human to mouse for functional genomic analysis.

Christian H. Holland, J. Saez-Rodriguez, B. Szalai, 2020, Biochimica et biophysica acta. Gene regulatory mechanisms.

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Christian H. Holland, Brian A. Joughin, D. Lauffenburger, 2020, Genome Biology.

Why do pathway methods work better than they should?

J. Saez-Rodriguez, B. Szalai, 2020, bioRxiv.

Why do pathway methods work better than they should?

J. Saez-Rodriguez, B. Szalai, 2020, FEBS letters.

Signatures of cell death and proliferation in perturbation transcriptomics data—from confounding factor to effective prediction

Christian H. Holland, J. Sáez-Rodríguez, J. Saez-Rodriguez, 2019, Nucleic acids research.

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

Robert J. Allaway, D. Gerhard, P. Aloy, 2020, bioRxiv.

Signatures of cell death and proliferation in perturbation transcriptomics data—from confounding factor to effective prediction

Julio Saez-Rodriguez, Bence Szalai, J. Sáez-Rodríguez, 2018, bioRxiv.

Transfer of regulatory knowledge from human to mouse for functional genomic analysis

Christian H. Holland, J. Sáez-Rodríguez, J. Saez-Rodriguez, 2019, bioRxiv.

Allosteric interactions within the AT₁ angiotensin receptor homodimer: role of the conserved DRY motif.

L. Hunyady, P. Várnai, B. Szalai, 2012, Biochemical pharmacology.

Inferring clonal composition from multiple tumor biopsies

Mar'ia Rodr'iguez Mart'inez, D. Parsons, Pavel Sumazin, 2017, npj Systems Biology and Applications.

Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

J. Saez-Rodriguez, I. Costa, B. Szalai, 2022, Nature Communications.

Improved Methodical Approach for Quantitative BRET Analysis of G Protein Coupled Receptor Dimerization

L. Hunyady, P. Hoffmann, P. Várnai, 2014, PloS one.

Mechanisms of angiotensin II-mediated activation of aldosterone synthase in H295R human adrenocortical and rat adrenal glomerulosa cells

L. Hunyady, P. Várnai, B. Szalai, 2020 .

Mechanisms of angiotensin II-mediated regulation of aldosterone synthase expression in H295R human adrenocortical and rat adrenal glomerulosa cells

L. Hunyady, P. Várnai, B. Szalai, 2009, Molecular and Cellular Endocrinology.

Angiotensin type 1A receptor regulates β-arrestin binding of the β2-adrenergic receptor via heterodimerization

L. Hunyady, P. Várnai, B. Szalai, 2017, Molecular and Cellular Endocrinology.

Angiotensin type 1 A receptor regulates β-arrestin binding of the β 2-adrenergic 1 receptor via heterodimerization 2 3

L. Hunyady, P. Várnai, B. Szalai, 2016 .

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Christian H. Holland, D. Lauffenburger, O. Stegle, 2020, Genome Biology.

Robustness and applicability of functional genomics tools on scRNA-seq data

Douglas A. Lauffenburger, Julio Saez-Rodriguez, Oliver Stegle, 2019, bioRxiv.

Computational drug repurposing against SARS-CoV-2 reveals plasma membrane cholesterol depletion as key factor of antiviral drug activity

J. Saez-Rodriguez, L. Hunyady, P. Várnai, 2021, bioRxiv.

Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

V. Beneš, J. Sáez-Rodríguez, L. Mathur, 2022, Nature Communications.

Comparison of Resources and Methods to infer Cell-Cell Communication from Single-cell RNA Data

J. Saez-Rodriguez, I. Costa, B. Szalai, 2021, bioRxiv.

Application of perturbation gene expression profiles in drug discovery—From mechanism of action to quantitative modelling

B. Szalai, D. Veres, 2023, Frontiers in Systems Biology.

Patient-specific Boolean models of signalling networks guide personalised treatments

E. Barillot, J. Saez-Rodriguez, L. Calzone, 2022, eLife.

Patient-specific Boolean models of signalling

E. Barillot, J. Sáez-Rodríguez, L. Calzone, 2022 .

Patient-specific Boolean models of signaling networks guide personalized treatments

E. Barillot, J. Saez-Rodriguez, L. Calzone, 2021, bioRxiv.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Robert M. Vogel, M. Zaslavskiy, Y. Guan, 2019, Nature Communications.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Amir K. Foroushani, Yuanfang Guan, Jaewoo Kang, 2019, Nature Communications.

Predicting human olfactory perception from chemical features of odor molecules

Amit Dhurandhar, Celine Vens, Yuanfang Guan, 2017, Science.

An Unexpected Enzyme in Vascular Smooth Muscle Cells: Angiotensin II Upregulates Cholesterol-25-Hydroxylase Gene Expression

L. Hunyady, P. Várnai, B. Szalai, 2023, International journal of molecular sciences.

Characterization of Type 1 Angiotensin II Receptor Activation Induced Dual-Specificity MAPK Phosphatase Gene Expression Changes in Rat Vascular Smooth Muscle Cells

L. Hunyady, B. Szalai, M. Szekeres, 2021, Cells.

Receptor endocytosis orchestrates the spatiotemporal bias of β-arrestin signaling

L. Hunyady, P. Várnai, B. Szalai, 2023, bioRxiv.

Modeling in systems biology: Causal understanding before prediction?

Bence Szalai, Szilvia Barsi, B. Szalai, 2021, Patterns.

Cannabinoid receptor type 1 (CB1R) inhibits hypothalamic leptin signaling via β-arrestin1 in complex with TC-PTP and STAT3

L. Hunyady, B. Szalai, A. Inoue, 2023, iScience.

The EFFECT benchmark suite: measuring cancer sensitivity prediction performance - without the bias

B. Szalai, Imre Gáspár, Valér Kaszás, 2023, bioRxiv.