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Meet MDASAE: A Novel Microbe-Drug Association Prediction Model
Scientists from the Hengyang Normal University, China, designed a stacked autoencoder (SAE) with a multi-head attention mechanism-based microbe drug association prediction model named MDASAE....
Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development
Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed...
Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models
Scientists from the Microsoft Research Lab, Cambridge, have designed a Self-Supervised Neural Network Masked Language Model named BiGCARP to accelerate the identification and classification...
Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite
Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...
Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties
Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial...