IMPACT: Interval-based Multi-pass Proteomic Alignment with Constant Traceback

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Computational protein design has emerged as a powerful tool capable of identifying sequences compatible with pre-defined protein structures. The sequence design protocols, implemented in the Rosetta suite, have become widely used in the protein engineering ...

Direct-coupling analysis (DCA) for studying the coevolution of residues in proteins has been widely used to predict the three-dimensional structure of a protein from its sequence. We present RADI/raDIMod, a variation of the original DCA algorithm that grou ...

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In recent years, wind farm layout optimization (WFLO) has been extendedly developed to address the minimization of turbine wake effects in a wind farm. Considering that increasing the degrees of freedom in the decision space can lead to more efficient solu ...

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Digitization and preservation of large heritage induce high maintenance costs to keep up with the technical standards and ensure sustainable access. Creating impactful usage is instrumental to justify the resources for long-term preservation. The Museum fü ...

Protein-protein interaction (PPI) network alignment is a canonical operation to transfer biological knowledge among species. The alignment of PPI-networks has many applications, such as the prediction of protein function, detection of conserved network mot ...

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Next generation workloads, such as genome sequencing, have an astounding impact in the healthcare sector. Sequence alignment, the first step in genome sequencing, has experienced recent breakthroughs, which resulted in next generation sequencing (NGS). As ...

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

IMPACT: Interval-based Multi-pass Proteomic Alignment with Constant Traceback

Chattez avec Graph Search

A Rosetta-based protein design protocol converging to natural sequences

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

Population pharmacokinetic model selection assisted by machine learning

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Automatic Content Curation of Visual Heritage

MPGM: Scalable and Accurate Multiple Network Alignment

Femtosecond laser-based optomechanical processes for permanent and high-precision fine alignment of optical systems

Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures

Automated Design: A Journey Across Modelling, Optimization, and Education