ReviewMolecules (Basel, Switzerland)2019
Computational Structural Biology: Successes, Future Directions, and Challenges.
Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Overview of Molecular Modeling in Drug Discovery with a Special Emphasis on the Applications of Artificial Intelligence.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Integrative modeling of diverse protein-peptide systems using CABS-dock.PLoS computational biology · 2023Article
- Integrating computational skills in undergraduate Microbiology curricula in developing countries.Biology methods & protocols · 2023Article
- Pandemic strategies with computational and structural biology against COVID-19: A retrospective.Computational and structural biotechnology journal · 2022Review
- Generative Adversarial Learning of Protein Tertiary Structures.Molecules (Basel, Switzerland) · 2021Article
- Bioinformatic analysis of subfamily-specific regions in 3D-structures of homologs to study functional diversity and conformational plasticity in protein superfamilies.Computational and structural biotechnology journal · 2021Article
- The Challenges of 21st Century Neurotoxicology: The Case of Neurotoxicology Applied to Nanomaterials.Frontiers in toxicology · 2021Article
- Generating tertiary protein structures via interpretable graph variational autoencoders.Bioinformatics advances · 2021Article
- High-throughput quantitative top-down proteomics.Molecular omics · 2020Review
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
Abstract
Computational biology has made powerful advances. Among these, trends in human health have been uncovered through heterogeneous 'big data' integration, and disease-associated genes were identified and classified. Along a different front, the dynamic organization of chromatin is being elucidated to gain insight into the fundamental question of genome regulation. Powerful conformational sampling methods have also been developed to yield a detailed molecular view of cellular processes. when combining these methods with the advancements in the modeling of supramolecular assemblies, including those at the membrane, we are finally able to get a glimpse into how cells' actions are regulated. Perhaps most intriguingly, a major thrust is on to decipher the mystery of how the brain is coded. Here, we aim to provide a broad, yet concise, sketch of modern aspects of computational biology, with a special focus on computational structural biology. We attempt to forecast the areas that computational structural biology will embrace in the future and the challenges that it may face. We skirt details, highlight successes, note failures, and map directions.
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.