Search Results for author: Ruheng Wang

Found 2 papers, 1 papers with code

iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations

2 code implementations Genome Biology 2022 Junru Jin, Yingying Yu, Ruheng Wang, Xin Zeng, Chao Pang, Yi Jiang, Zhongshen Li, Yutong Dai, Ran Su, Quan Zou, Kenta Nakai, Leyi Wei

In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model that enables the interpretable prediction of DNA methylations based on genomic sequences only.

Benchmarking Text Classification

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery

no code implementations3 Dec 2022 Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei

Moreover, case study results on targeted molecule generation for the SARS-CoV-2 main protease (Mpro) show that by integrating molecule docking into our model as chemical priori, we successfully generate new small molecules with desired drug-like properties for the Mpro, potentially accelerating the de novo design of Covid-19 drugs.

Benchmarking Representation Learning

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