Stefan Arold, Professor, Bioscience
Sunday, September 20, 2020, 11:00
- 12:00
https://kaust.zoom.us/j/99728667696
Contact Person
In this presentation, I will give a short overview of the ongoing and future work in the Structural Biology and Engineering (StruBE) lab. I will show how structural biology has allowed us to obtain a first specific inhibitor for a currently uncontrollable parasitic plant; how we combine structural and computational biology to elucidate the evolution of novel protein functions; and how we use our capacity to engineer proteins to obtain a portable next-generation COVID19 detector with single-molecule sensitivity. I will also give a brief outlook on our planned projects, in particular, our efforts to further integrate computational and experimental structure-guided science. 

Thursday, April 16, 2020, 12:00
- 13:00
https://kaust.zoom.us/j/706745599
Transcription factors are an important family of proteins that control the transcription rate from DNAs to messenger RNAs through the binding to specific DNA sequences. Transcription factor regulation is thus fundamental to understanding not only the system-level behaviors of gene regulatory networks, but also the molecular mechanisms underpinning endogenous gene regulation. In this talk, I will introduce our efforts on developing novel optimization and deep learning methods to quantitatively understanding transcription factor regulation at network- and molecular-levels. Specifically, I will talk about how we estimate the kinetic parameters from sparse time-series readout of gene circuit models, and how we model the relationship between the transcription factor binding sites and their binding affinities.
Monday, April 06, 2020, 19:30
- 21:30
https://kaust.zoom.us/j/858990591
Contact Person
We developed and expanded novel methods for representation learning, predicting protein functions and their loss of function phenotypes. We use deep neural network algorithm and combine them with symbolic inference into neural-symbolic algorithms. Our work significantly improves previously developed methods for predicting protein functions through methodological advances in machine learning, incorporation of broader data types that may be predictive of functions, and improved systems for neural-symbolic integration. The methods we developed are generic and can be applied to other domains in which similar types of structured and unstructured information exist. In future, our methods can be applied to prediction of protein function for metagenomic samples in order to evaluate the potential for discovery of novel proteins of industrial value.  Also our methods can be applied to the prediction of loss of function phenotypes in human genetics and incorporate the results in a variant prioritization tool that can be applied to diagnose patients with Mendelian disorders.
Tuesday, March 03, 2020, 10:00
- 11:30
Building 9, Level 2, Hall 2, Room 2325
In my research I aim to understand how formalized knowledge bases can be used to systematically structure and integrate biological knowledge, and how to utilize these formalized knowledge bases as background knowledge to improve scientific discovery in biology and biomedicine.  To achieve these aims, I develop methods for representing, integrating, and analyzing data and knowledge with the specific aim to make the combination of data and formalized knowledge accessible to data analytics and machine learning in bioinformatics. Biomedicine, and life sciences in general, are an ideal domain for knowledge-driven data analysis methods due to the large number of formal knowledge bases that have been developed to capture the broad, diverse, and heterogeneous data and knowledge.
Sunday, February 16, 2020, 16:00
- 18:00
Building 2, Level 5, Room 5209
Contact Person
In this dissertation, I present the methods I have developed for prediction of promoters for different organisms. Instead of focusing on the classification accuracy of the discrimination between promoter and non-promoter sequences, I predict the exact positions of the TSS inside the genomic sequences, testing every possible location. The developed methods significantly outperform the previous promoter prediction programs by considerably reducing the number of false positive predictions. Specifically, to reduce the false positive rate, the models are adaptively and iteratively trained by changing the distribution of samples in the training set based on the false positive errors made in the previous iteration. The new methods are used to gain insights into the design principles of the core promoters. Using model analysis, I have identified the most important core promoter elements and their effect on the promoter activity. I have developed a novel general approach to detect long range interactions in the input of a deep learning model, which was used to find related positions inside the promoter region. The final model was applied to the genomes of different species without a significant drop in the performance, demonstrating a high generality of the developed method.
Monday, January 20, 2020, 08:00
- 17:00
Building 19, Level 2, Hall 1
Contact Person
Computational Bioscience Research Center at King Abdullah University of Science and Technology is pleased to announce the KAUST Research Conference on Digital Health 2020. To see the agenda of the conference Digital Health 2020 visit agenda page. To view ​frequently asked questions, visit FAQ page.
Thursday, November 21, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
I will present an overview of our activities around estimation problems for partial and fractional differential equations. I will present the methods and the algorithms we develop for the state, source and parameters estimation and illustrate the results with some simulations and real applications.
Dr. Michel Dumontier, Distinguished Professor of Data Science at Maastricht University, The Netherlands
Monday, November 04, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.
Monday, November 04, 2019, 10:00
- 11:00
Building 3, Level 5 , Room 5209
Contact Person
The goal of this thesis is to pave the way towards the next generation of recommendation systems tackling such real-world challenges to improve the user experience while giving good recommendations.
Monday, September 02, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1
Contact Person
In this talk, I will first give an overview of the research activities in Structural and Functional Bioinformatics Group (http://sfb.kaust.edu.sa). I will then focus on our efforts on developing computational methods to tackle key open problems in Nanopore sequencing. In particular, I will introduce our recent works on developing a collection of computational methods to decode raw electrical current signal sequences into DNA sequences, to simulate raw signals of Nanopore, and to efficiently and accurately align electrical current signal sequences with DNA sequences. Then, I will further introduce their applications in clinical and environmental fields.
Wednesday, July 17, 2019, 10:00
- 12:00
Building 3, Level 5, Room 5209
Contact Person
With the advances in transcriptomic analysis, the monitoring of genome-wide gene expression provides a powerful approach for determining the action of drugs. In this thesis, we analyzed the transcriptional responses of cells treated with drugs either alone or in combinations to explore their effects in two different applications: breast cancer therapy and cell conversion.
Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley
Tuesday, July 09, 2019, 14:00
- 15:00
B3 L5 Room 5209
Materials science is a multidisciplinary field of research with many different scientists and engineers having various backgrounds active in it. The literature landscape consequently is populated currently by a wide range of journals which greatly differ in purpose, scope, quality, and readership. Jos Lenders, Deputy Editor of Advanced Materials, Advanced Functional Materials, and Advanced Optical Materials, will track some of the most important developments and trends in the research field and the Advanced journals program. Last year, Advanced Materials reached an Impact Factor of 21.95 and received over 8,300 submissions – and Advanced Functional Materials over 9,200. Only around 15% of all those papers made it to publication in the journal, and this rate is similar for all other Advanced journals. So, what do editors do to select the very best papers, and what can authors do to optimize their chances of having their manuscripts accepted?
Dr. Romain Murenzi, Executive Director, The World Academy of Sciences (TWAS)
Wednesday, July 03, 2019, 12:00
- 13:30
Building 3, Level 5, Room 5209
It is an accepted fact that science, technology, and innovation are central to addressing global challenges facing humanity, such as climate change, energy security, food security, diseases, clean water, population control, conflicts and poverty. Therefore, nations are adopting policies and strategies for advancing science, technology and innovation as tools for sustainable economic growth, poverty alleviation and environmental protection. In this talk, I will discuss the role of TWAS working with developing countries in building their science capacity, with special attention to the 47 Least Developed Countries and Africa. TWAS initiatives such as South-South fellowships, research grants, exchange programs and science diplomacy will be discussed.
Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University
Tuesday, July 02, 2019, 10:00
- 11:00
B3 L5 Room 5209
This series of lectures guide students to the preparation and analysis of a well-organized abstract. We will discuss the proper language (tense, voice, and person) for abstract writing, and learn how to meet the purposes of different abstracts. Finally, students will have a chance to compose and evaluate their writing. Topics: Overview of abstract writing; Conference abstract journal abstract; Organization of an abstract; Language conventions of abstract writing; Disciplinary abstract analysis; Frequent mistakes of abstract writing.
Thursday, April 18, 2019, 12:00
- 13:00
B9 L2 Hall 1
Contact Person
We will present some new methods for source and parameters estimation for partial and fractional differential equations and illustrate the results with some simulations and real applications.
Dr. Saleh AlGhamdi, The Saudi Society of Medical Genetics (SSMG)
Monday, April 15, 2019, 08:00
- 17:00
Building 19, Hall 1 & 2
Contact Person

It is with great pleasure to announce that the Computational Bioscience Rese

Thursday, March 07, 2019, 16:00
- 18:00
Buildng 1 Level 2 Room2202
Contact Person
Promoter is a key region that is involved in differential transcription regulation of protein-coding and RNA genes. The gene-specific architecture of promoter sequences makes it extremely difficult to devise the general strategy for their computational identification.