ReviewTrends in biotechnology2010
Novel opportunities for computational biology and sociology in drug discovery.
Review in Trends in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 35 citations in OpenAlex.
- FMCA-DTI: a fragment-oriented method based on a multihead cross attention mechanism to improve drug-target interaction prediction.Bioinformatics (Oxford, England) · 2024Article
- Comprehensive Review on Drug-target Interaction Prediction - Latest Developments and Overview.Current drug discovery technologies · 2024Review
- Article
- A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2022Article
- Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach.Journal of cheminformatics · 2022Article
- Novel drug-target interactions via link prediction and network embedding.BMC bioinformatics · 2022Article
- A comparative chemogenic analysis for predicting Drug-Target Pair via Machine Learning Approaches.Scientific reports · 2020Article
- Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.BMC bioinformatics · 2019Article
- Identification of novel immune-relevant drug target genes for Alzheimer's Disease by combining ontology inference with network analysis.CNS neuroscience & therapeutics · 2018Article
- A correlation study of biological activity and molecular docking of Asp and Glu linked bis-hydrazones of quinazolinones.RSC advances · 2018Article
- Systems Perturbation Analysis of a Large-Scale Signal Transduction Model Reveals Potentially Influential Candidates for Cancer Therapeutics.Frontiers in bioengineering and biotechnology · 2016Article
- Genome-scale screening of drug-target associations relevant to Ki using a chemogenomics approach.PloS one · 2013Article
- Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
- Republished from
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Current drug discovery is impossible without sophisticated modeling and computation. In this review we outline previous advances in computational biology and, by tracing the steps involved in pharmaceutical development,explore a range of novel, high-value opportunities for computational innovation in modeling the biological process of disease and the social process of drug discovery.These opportunities include text mining for new drug leads, modeling molecular pathways and predicting the efficacy of drug cocktails, analyzing genetic overlap between diseases and predicting alternative drug use.Computation can also be used to model research teams and innovative regions and to estimate the value of academy-industry links for scientific and human benefit. Attention to these opportunities could promise punctuated advance and will complement the well-established computational work on which drug discovery currently relies.
Indexed as
Identifiers
What 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.