Evaluation of Florida’s Medicaid managed mental health plans: Mail survey component

2004/12/31 by P CSERMELY, Peter Csermely, Vilmos Ágoston +4 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Economics, Econometrics and Finance · Health Professions · Social Sciences · #Bioinformatics and Genomic Networks #Computational Drug Discovery Methods #Health disparities and outcomes #Healthcare Policy and Management #Primary Care and Health Outcomes #Protein Structure and Dynamics #q-bio.MN

paper · pdf · doi:10.1016/j.tips.2005.02.007

published as Trends in Pharmacological Sciences 26, 178-182 (2005) · 6 pages, 2 figures, 1 box, 38 references

arxiv created 2005/04/10 · openalex publication_date 2007/01/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/04/28

Abstract

Despite considerable progress in genome- and proteome-based high-throughput screening methods and rational drug design, the number of successful single-target drugs did not increase appreciably during the past decade. Network models suggest that partial inhibition of a surprisingly small number of targets can be more efficient than the complete inhibition of a single target. This and the success stories of multi-target drugs and combinatorial therapies led us to suggest that systematic drug-design strategies should be directed against multiple targets. We propose that the final effect of partial, but multiple, drug actions might often surpass that of complete drug action at a single target. The future success of this novel drug-design paradigm will depend not only on a new generation of computer models to identify the correct multiple targets and their multi-fitting, low-affinity drug candidates but also on more-efficient in vivo testing.

Citations

• Multiple weak hits confuse complex systems: A transcriptional regulatory network as an example
• Water and molecular chaperones act as weak links of protein folding networks: Energy landscape and punctuated equilibrium changes point towards a game theory of proteins
• The structure and function of complex networks

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