RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...
RNA design is central to next-generation therapeutics, yet identifying sequences that reliably fold into desired structures remains a major computational challenge, often constrained by high cost and ...
Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
Abstract: A study report brings in a predictive framework that involves physicochemical and structural descriptors in estimating electronic properties of nanoparticles. The irrevocable cost of the ...
Recent developments in the area of precision livestock promoted the concept of high-throughput phenotyping to be exploited under the Animal Breeding and Genetics framework. In this context, genomic ...
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