GOT-IT (Guidelines on Target Assessment for Innovative Therapeutics) - Target Assessment Resource Centre - Guidelines
List of Publications
Tools
Events
Useful Links
Guidelines

Guidelines

GOT-IT Guidelines

Emmerich CE, Martinez-Gamboa L, Hofmann MCJ, Bonin-Andresen M, Arbach O, Schendel P, Gerlach B, Hempel K, Bespalov A, Dirnagl U, Parnham MJ. Improving target assessment in biomedical research: the GOT-IT recommendations. Nature Reviews Drug Discovery (2020) Guidelines and recommendations PMID: 33199880

Abstract

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.

External guidelines



Full Name

Description



  • ARRIVE
Animal Research Reporting In Vivo Experiments

Design and analysis checklist for studies using laboratory animals.

  • ASA
ASA Statement on the use of p-values

Six principles underlying the proper use and interpretation of the p-value.

  • EQUATOR
Enhancing the QUAlity and Transparency Of health Research

A comprehensive searchable database of reporting guidelines and also links to other resources relevant to research reporting.

  • FAIR
Findable, Accessible, Interoperable, Re-Usable

Set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable.

  • GCCP
Good Cell Culture Practice

Reduce uncertainty in the development and application of in vitro cell and tissue culture procedures, by encouraging greater international harmonisation, rationalisation and standardisation of laboratory practices, quality control systems, safety procedures, recording and reporting, and compliance with laws, regulations and ethical principles.

  • GLP
Good Laboratory Practice

The OECD Principles of Good Laboratory Practice (GLP) ensure the generation of high quality and reliable test data related to the safety of industrial chemical substances and preparations.

  • HUPO-PSI
HUPO Proteomics Standards Initiative

HUPO-PSI defines community standards for data representation in proteomics and interactomics to facilitate data comparison, exchange and verification.

  • MIAME
Minimum Information About a Microarray Experiment

MIAME describes the Minimum Information About a Microarray Experiment that is needed to enable the interpretation of the results of the experiment unambiguously and potentially to reproduce the experiment.

  • MIBBI
Minimum Information for Biological and Biomedical Investigations

MIBBI gives recommendations for the minimum reporting of experimental methods.

  • REMARK
REporting recommendations for tumour MARKer prognostic studies

Provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, statistical analysis methods and presentations of data.

  • RII
Resource Identification Initiative

Promote research resource identification, discovery, and reuse.

  • RIPOSTE
Reducing IrreProducibility in labOratory STudiEs

Primer on experimental design and analysis.

  • STAIR
Stroke Therapy Academic Industry Roundtable

Guidelines to improve assessment of preclinical stroke therapy and increase translational potential of experimental stroke treatments.

  
  • STRENDA
STandards for Reporting ENzymology DAta

The STRENDA Guidelines aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities.

  • TOP
Transparency and Openness Promotion Guidelines

Journals and funders can increase reproducibility of research by adopting the TOP Guidelines, helping them evolve to meet the needs of researchers and publishers while pursuing the most transparent practices.