ReviewMini reviews in medicinal chemistry2026
Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.
Review in Mini reviews in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fragment-based drug discovery (FBDD) has emerged as a transformative strategy in modern medicinal chemistry, offering a rational and efficient alternative to traditional highthroughput screening (HTS). By utilizing small, low-molecular-weight fragments with moderate binding affinity, FBDD enables systematic optimization into potent lead compounds with improved physicochemical properties. Its modular and ligand-centric nature has proven particularly advantageous in accelerating early-stage drug discovery. The COVID-19 pandemic highlighted the adaptability of FBDD, as fragment screening and computational modeling rapidly identified inhibitors of the SARS-CoV-2 main protease (M
Indexed as
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41582574What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.