DeepChain
合成数据生成This AI-powered suite consolidates multi-objective design, generative sequence modeling, and structural analysis across antibodies, proteins, peptides, and genomes to accelerate discovery and development, featuring integrated multi-objective design with conditional outputs, Bayesian-style sampling of protein sequences, transformer- and diffusion-based peptide generation, high-throughput folding and evaluation, and genome-scale insights through domain-adapted NLP. It serves researchers in academia and industry—including biopharma, genomics, proteomics, agriculture, and diagnostics—seeking scalable, end-to-end solutions to shorten discovery cycles, improve design quality, extract meaning from experimental data, and translate sequences, structures, and omics data into safe, effective therapeutics, diagnostics, and improved agricultural traits.
DeepChain 可以在以下位置找到: Synthetic Data Generation 类别。
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