A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

Meshfree methods have emerged as a powerful alternative to traditional finite element approaches by eliminating the reliance on fixed meshes for domain discretisation. These techniques, which include ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Researchers propose a computational method to reveal the hidden timing structure of live performance. Vanessa C. Pope and ...

Discontinuous Galerkin (DG) methods have emerged as a formidable tool in computational fluid dynamics (CFD), offering a flexible and high-order accurate framework for solving complex flow problems. By ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Scientists at La Jolla Institute for Immunology (LJI) have developed a new computational method for linking molecular marks on our DNA to gene activity. Their work may help researchers connect genes ...

In collaboration with the International Conference on Research in Computational Molecular Biology (RECOMB), Genome Research publishes a collection of 20 computational methods and their applications in ...

Survival Outcomes of Patients With Tropomyosin Receptor Kinase Fusion-Positive Cancer Receiving Larotrectinib Versus Standard of Care: A Matching-Adjusted Indirect Comparison Using Real-World Data ...