["科學家們近日在《Nature Machine Intelligence》雜誌上發佈了關於蛋白質-配體複合物結構預測的研究。","新方法NeuralPLexer通過深度生成模型，僅需蛋白質序列和配體分子圖輸入即可預測結構。","NeuralPLexer利用多尺度深度學習系統，提高了預測成功率，有望在藥物發現中發揮重要作用。","這項研究爲探索蛋白質-配體複合物結構預測領域提供了通用的計算框架，具有重大意義。"]
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