Knowledge-based approaches to drug discovery for rare diseases.
Knowledge-based approaches to drug discovery for rare diseases.
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DOI：
10.1016/j.drudis.2021.10.014
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发表时间：
2022-03
影响因子：
7.4
通讯作者：
Tropsha, Alexander
中科院分区：
文献类型：
--
作者：
Alves, Vinicius M.;Korn, Daniel;Pervitsky, Vera;Thieme, Andrew;Capuzzi, Stephen J.;Baker, Nancy;Chirkova, Rada;Ekins, Sean;Muratov, Eugene N.;Hickey, Anthony;Tropsha, Alexander
事实证明，传统的药物发现管道对于罕见疾病来说是不可持续的。在这里，我们讨论生物医学知识挖掘应用于发现罕见疾病疗法的最新进展。我们总结了当前与罕见疾病相关的化学基因组学数据，并为机器学习和生物医学知识图挖掘在罕见疾病药物发现中的有效性提供了视角。我们通过脊索瘤案例研究来说明这些方法的力量。我们预计知识图挖掘和人工智能方法的更广泛应用将加速发现针对罕见和常见疾病的可行候选药物。我们描述了生物医学知识图挖掘和人工智能的最新进展如何帮助发现针对罕见疾病的可行候选药物。
The conventional drug discovery pipeline has proven to be unsustainable for rare diseases. Herein, we discuss the recent advances in biomedical knowledge mining applied to discovering therapeutics for rare diseases. We summarize current chemogenomics data of relevance to rare diseases and provide a perspective on the effectiveness of machine learning and biomedical knowledge graph mining in rare disease drug discovery. We illustrate the power of these methodologies using a chordoma case study. We expect that a broader application of knowledge graph mining and artificial intelligence approaches will expedite the discovery of viable drug candidates against both rare and common diseases. We describe how recent advances in biomedical knowledge graph mining and artificial intelligence could aid the discovery of viable drug candidates against rare diseases.
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影响因子：
3.7
作者：
Blöß S;Klemann C;Rother AK;Mehmecke S;Schumacher U;Mücke U;Mücke M;Stieber C;Klawonn F;Kortum X;Lechner W;Grigull L
通讯作者：
Grigull L
DOI：
10.1073/pnas.1806643115
发表时间：
2018-10-16
影响因子：
11.1
作者：
Choi BK;Dayaram T;Parikh N;Wilkins AD;Nagarajan M;Novikov IB;Bachman BJ;Jung SY;Haas PJ;Labrie JL;Pickering CR;Adikesavan AK;Regenbogen S;Kato L;Lelescu A;Buchovecky CM;Zhang H;Bao SH;Boyer S;Weber G;Scott KL;Chen Y;Spangler S;Donehower LA;Lichtarge O
通讯作者：
Lichtarge O
影响因子：
5.6
作者：
Bizon, Chris;Cox, Steven;Tropsha, Alexander
通讯作者：
Tropsha, Alexander
DOI：
10.5863/1551-6776-18.1.8
发表时间：
2013-01-01
期刊：
The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG
影响因子：
--
作者：
Condren, Michelle E;Bradshaw, Marquita D
通讯作者：
Bradshaw, Marquita D
影响因子：
17.1
作者：
Baxter, Kristin;Horn, Elizabeth;Terry, Sharon F.
通讯作者：
Terry, Sharon F.