Bioinformatics

 

6 Results were found on Technologies

Leading Researchers:
5-2020-1362

An early stage screening tool for distinguishing pregnant women having an increased risk of developing preeclampsia

Preeclampsia is one of the most dangerous pregnancy complications occurs in the second or third trimester, affecting 3–8% of pregnancies; it is the leading cause of maternal and perinatal mortality and morbidity. Preeclampsia cannot reliably be predicted as no tests available in early pregnancy.OUR INNOVATIONThe invention is based in part on the finding that plasma […] Read More >

Leading Researchers:
10-2020-1360

Targeting Human Brain Cells With Adeno-Associated Virus (AAV) for a Prospective Therapeutic Approach

The AAV therapeutic approach for various central nervous system (CNS) illnesses has been rapidly growing. Unfortunately, existing present technologies utilize AAV administration that is injected locally into the brain. This process requires a high level of expertise and is not applicable in more diffused brain targets like cortex and stiratum. Systemic administration of AAV vectors through […] Read More >

Leading Researchers:
2023-0076

Designing Novel Protein-protein Interaction Modulators with Generative Models

UNMET NEED• Protein-protein interactions (PPIs) are essential components of all cell signaling pathways and important therapeutic targets. However, the design of PPI modulators, especially in the form of small molecules, remains a major challenge.• Interfering with PPIs is especially challenging when one of the interactors is a disordered protein (i.e., with no stable structure).• Peptides, […] Read More >

Leading Researchers:
2023-0080

Deep Cell-Type Deconvolution From Bulk Gene Expression Data

It is becoming clear that bulk gene expression measurements represent an average over very different cells. Elucidating the expression and abundance of each of the encompassed cells is key to disease understanding and precision medicine approaches. A first step in any such deconvolution is the inference of cell type abundances in the given mixture. To […] Read More >

Leading Researchers:
2023-0185

Development of Improved Peptide Inhibitors of the HIF/PHD Interaction – Anemia and HIF – Related Diseases

Modern drugs are molecules that interfere with the activity of a specific protein related to a target disease. Within this realm, new molecules capable of interfering with protein-protein interactions (PPIs) are in the heart of modern drug discovery. However, the discovery or de-novo design of new molecules is often hampered by the lack of structural […] Read More >

Leading Researchers:
2023-0184

Development Of Improved Immunosuppressant Targeting Calcineurin-NFAT Protein-Protein Interaction Via Novel Peptides

Modern drugs are molecules that interfere with the activity of a specific protein related to a target disease. Within this realm, new molecules capable of interfering with protein-protein interactions (PPIs) are in the heart of modern drug discovery. However, the discovery or de-novo design of new molecules is often hampered by the lack of structural […] Read More >

Prof. Ben-Tal Nir

Our research is focused on studying the interplay between protein sequence, structure, motion and function using computational tools. The understanding of these relations provides a molecular dimension to our understanding of protein functions and their involvement in genetic disorders and other diseases. Within the broad fields of structural-bioinformatics and phylogeny, we limit our research to […] Read More >

Dr. Leikin-Frenkel Alicia

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Dr. Pasmanik-Chor Metsada

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Prof. Rabani Eran

Research Prof. Rabani’s research involves the development of theoretical and computational tools to investigate fundamental properties of nanostructures. His research covers structural, electronic and optical properties of nanocrystals, doping of nanoparticles, exciton and multiexciton dynamics at the nanoscale, and transport in correlated nano-junctions. Much of this relies on the development of stochastic electronic structure techniques […] Read More >

Prof. Ruppin Eytan

Research in Eytan Ruppin‘s lab is focused on the computational study of biological networks within the general framework of Systems Biology. This is done primarily in four research topics: 1. The study of metabolism and metabolic networks: Our current focus is on developing genomic-scale metabolic models of human tissues and studying their role in understanding an […] Read More >

Prof. Shomron Noam

Noam has received his Bachelors degree in Biotechnology at Macquarie University in Sydney, Australia; his Masters degree in Gene Therapy at the Hebrew University of Jerusalem; and his graduate studies in Genetics at Tel Aviv University where he worked on regulatory RNA systems. As a Post-Doctorate affiliate at MIT in Cambridge, USA, Noam gained expertise […] Read More >

Prof. Tuller Tamir

Research Interests: computational biology and bioinformatics systems biology developing mathematical and physical models of biological systems (usually intra-cellular process such as gene translation) and biological phenomena developing algorithms and statistical approaches for solving problems in molecular biology theoretical analysis of algorithms in the field analysis of large-scale genomic data Contact: Email: tamirtul@post.tau.ac.il Phone: 03-6405836 Website: […] Read More >

Prof. WEIL Miguel Enrique

Research topic: Cell based platforms for study, diagnosis, drug screening and therapy of neurodegenerative diseases. Research methods: Isolation and culture of human embryonic/adult stem cells models of diseases; Cell based-assays for High content analysis (HCA) screening of stem cells with and without disease; High throughput screening (HTS) of drugs using liquid handling robot, Drug development applications, Transcriptome […] Read More >

Leading Researchers:
12-2011-221

Bioinformatic Analysis

  The Bioinformatics Unit at the Faculty of Life Sciences   The Bioinformatics Unit at the Faculty of Life-Science at Tel-Aviv University is part of the Israeli Center of Bioinformatics Infrastructure (COBI) and offer various activitities to the bio-medical research community of Tel Aviv University and outside TAU. Bioinformatics training Bioinformatics consultation Microarray experiments support […] Read More >

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