When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi – microorganisms that, if actually present in tumor tissues, could influence how ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

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 ...

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

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

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 ...

Organized by Scientific Explore Publications and coordinated from Madurai, Tamil Nadu, ICCMMAS 2025 featured technical ...

A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...

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 ...

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 ...

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 ...

Schematic image of X-ray data-enhanced computational method. Image Credit: University of Tokyo The method predicts structures directly from powder X-ray diffraction patterns, which are created when ...