Improving target assessment in biomedical research: the GOT-IT recommendations

可药性 转化研究 工程伦理学 翻译科学 医学 计算机科学 药物开发 知识管理 工程类 药品 药理学 生物 病理 生物化学 基因
作者
Christoph H. Emmerich,Lorena Martinez‐Gamboa,M. Hofmann,Marc Bonin-Andresen,Olga Arbach,Pascal Schendel,Björn Gerlach,Katja Hempel,Anton Bespalov,Ulrich Dirnagl,Michael J. Parnham
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:20 (1): 64-81 被引量:208
标识
DOI:10.1038/s41573-020-0087-3
摘要

Academic research plays a key role in identifying new drug targets, including understanding target biology and links between targets and disease states. To lead to new drugs, however, research must progress from purely academic exploration to the initiation of efforts to identify and test a drug candidate in clinical trials, which are typically conducted by the biopharma industry. This transition can be facilitated by a timely focus on target assessment aspects such as target-related safety issues, druggability and assayability, as well as the potential for target modulation to achieve differentiation from established therapies. Here, we present recommendations from the GOT-IT working group, which have been designed to support academic scientists and funders of translational research in identifying and prioritizing target assessment activities and in defining a critical path to reach scientific goals as well as goals related to licensing, partnering with industry or initiating clinical development programmes. Based on sets of guiding questions for different areas of target assessment, the GOT-IT framework is intended to stimulate academic scientists' awareness of factors that make translational research more robust and efficient, and to facilitate academia-industry collaboration.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
YS发布了新的文献求助10
1秒前
lin完成签到,获得积分20
1秒前
搜集达人应助carcar采纳,获得10
1秒前
微光发布了新的文献求助10
1秒前
唐秋秋发布了新的文献求助10
2秒前
2秒前
自然靖易发布了新的文献求助10
2秒前
小二郎应助三文鱼采纳,获得10
2秒前
2秒前
英姑应助宝儿糯采纳,获得10
3秒前
TCMning发布了新的文献求助20
3秒前
充电宝应助wangchenchen采纳,获得10
3秒前
3秒前
3秒前
4秒前
4秒前
4秒前
li完成签到,获得积分10
4秒前
abb完成签到,获得积分10
4秒前
小蘑菇应助现代大米采纳,获得10
5秒前
emptyyy发布了新的文献求助10
5秒前
6秒前
7秒前
张嚼发布了新的文献求助10
8秒前
天天应助Linshun采纳,获得10
8秒前
ken发布了新的文献求助10
8秒前
8秒前
初景发布了新的文献求助10
8秒前
传奇3应助零零零采纳,获得10
8秒前
斯文败类应助整齐的凌兰采纳,获得10
8秒前
vC完成签到 ,获得积分10
9秒前
在水一方应助Xio采纳,获得10
9秒前
会飞的猪发布了新的文献求助10
9秒前
完美凝安发布了新的文献求助10
9秒前
che发布了新的文献求助10
9秒前
10秒前
jingjinghe发布了新的文献求助10
10秒前
Akim应助李林峰采纳,获得10
10秒前
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7735968
求助须知:如何正确求助?哪些是违规求助? 9286086
关于积分的说明 20175018
捐赠科研通 7314141
什么是DOI,文献DOI怎么找? 3305181
关于科研通互助平台的介绍 2457573
邀请新用户注册赠送积分活动 2314573