3 hasil untuk "Zhu, Li-Da"
Menampilkan 1–3 · 0,43 detik · RSS
-
Artikel Jurnal Teks lengkap
A Machine Learning Method for Drug Combination Prediction
Drug combination is now a hot research topic in the pharmaceutical industry, but experiment-based methodologies are extremely costly in time and money. Many computational methods have been proposed to address these problems by starting from existing drug combinations. However, in most cases, only…
-
Artikel Jurnal Teks lengkap
Facilitating Anti-Cancer Combinatorial Drug Discovery by Targeting Epistatic Disease Genes
Due to synergistic effects, combinatorial drugs are widely used for treating complex diseases. However, combining drugs and making them synergetic remains a challenge. Genetic disease genes are considered a promising source of drug targets with important implications for navigating the drug space…
-
Artikel Jurnal Teks lengkap
Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates
Genetic disease genes are considered a promising source of drug targets. Most diseases are caused by more than one pathogenic factor; thus, it is reasonable to consider that chemical agents targeting multiple disease genes are more likely to have desired activities. This is supported by a…