constructing an atomic-resolution model of a protein from its amino acid sequence
Protein structure prediction - Wikipedia
a, The performance of AlphaFold on the CASP14 dataset (n=87 protein domains) relative to the top-15 entries (out of 146 entries), group numbers correspond to the numbers assigned to entrants by CASP. Data are median and the 95% confidence interval of the median, estimated from 10,000 bootstrap samples. b, Our prediction of CASP14 target T1049 (PDB 6Y4F, blue) compared with the true (experimental) structure (green). Four residues in the C terminus of the crystal structure are B-factor outliers an
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure. Structure prediction … Wikipedia
🌐
Wikipedia
en.wikipedia.org › wiki › Protein_structure_prediction
Protein structure prediction - Wikipedia
March 11, 2026 - Accurate structure prediction has important applications in medicine (for example, in drug design) and biotechnology (for example, in novel enzyme design). Starting in 1994, the performance of current methods is assessed biennially in the Critical Assessment of Structure Prediction (CASP) ...
🌐
DNASTAR
dnastar.com › home › why structure prediction matters
Why Structure Prediction Matters | DNASTAR
April 11, 2023 - Predicted models are already being ... is a lot of interest in structure prediction as a screening process for proteins that are not tenable for experimental determination....
Discussions

Why does it matter to predict protein structure? - Biology Stack Exchange
Should't we predict directly the ... instead of the function) I also read the structure helps predicting affinities with other proteins and how it will bind : same question here, is this prediction [Structure -> Affinity] reliable and why don't we predict directly affinities. To sum up a bit, I have the impression that the structure in itself is not important to know except ... More on biology.stackexchange.com
🌐 biology.stackexchange.com
July 23, 2019
Protein structure predictions, need advice/help
On the top of my head, I can say, you can maybe do a structure verification kinda things. Basically, if your predicted structure is stable or not. As one idea you presented, you can predict its function and class (try blasting the sequence for that). Following that you can do MSA and maybe make an evolutionary tree. If it happens to be similar to TF, then you can try to predict the DNA-Binding motif in the structure. This is all that comes to my mind when I think of further analysis. More on reddit.com
🌐 r/bioinformatics
7
2
June 6, 2022
Does Protein structural analysis have a future?
No one can predict the future, but I don't think that experimental protein structural analysis is going anywhere. No company worth its salt is going to go into the clinic solely based on predicted structures. Target validation and structural enablement is vital. Having said that, if you're 10 years into your career doing the same stuff you were doing in grad school, something has gone terribly wrong. More on reddit.com
🌐 r/labrats
32
17
September 2, 2023
3D protein Structure Prediction
Correct me if I'm wrong, but I dont think we are able to predict protein sequence from DNA sequence yet. The mechanics of post-transscriptional editing is still more or less a mystery. However if you already know which dna sequence corresponds to which protein (for which almost every human protein has been mapped), then you can make a prediction by finding the protein first somehow using a match table then using alphafold on that protein's PDB entry More on reddit.com
🌐 r/genomics
3
4
February 25, 2023
🌐
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC2673339
Protein Structure Prediction: Is It Useful? - PMC
Computationally predicted three-dimensional structure of protein molecules has demonstrated the usefulness in many areas of biomedicine, ranging from approximate family assignments to precise drug screening. For nearly 40 years, however, the accuracy of the predicted models has been dictated ...
🌐
ScienceDirect
sciencedirect.com › topics › biochemistry-genetics-and-molecular-biology › protein-structure-prediction
Protein Structure Prediction - an overview | ScienceDirect Topics
In other words, it deals with the prediction of a protein's tertiary structure from its primary structure. Protein structure prediction is of high importance in medicine (for example, in drug design) and biotechnology (for example, in the design of novel enzymes).
🌐
Nature
nature.com › articles › article
Highly accurate protein structure prediction with AlphaFold | Nature
July 15, 2021 - Predicting the three-dimensional ... prediction component of the ‘protein folding problem’8—has been an important open research problem for more than 50 years9....
🌐
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC10928435
Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms - PMC
Figure 1A shows a C-terminal fragment ... and three β strands. The accurate prediction of the secondary structure of a protein provides important information of its tertiary structure [3], [4]....
🌐
Nature
nature.com › nature reviews molecular cell biology › review articles › article
Advances in protein structure prediction and design | Nature Reviews Molecular Cell Biology
August 15, 2019 - The prediction of protein three-dimensional structure from amino acid sequence has been a grand challenge problem in computational biophysics for decades, owing to its intrinsic scientific interest and also to the many potential applications for robust protein structure prediction algorithms, from genome interpretation to protein function prediction.
Find elsewhere
🌐
Frontiers
frontiersin.org › journals › bioinformatics › articles › 10.3389 › fbinf.2023.1120370 › full
Frontiers | Before and after AlphaFold2: An overview of protein structure prediction
February 17, 2023 - Three-dimensional protein structure determination is important to elucidate the protein function, being critical to understanding biological processes and addressing human health and life science problems in general.
🌐
Imsa
digitalcommons.imsa.edu › cgi › viewcontent.cgi pdf
Poster 7: Importance of Protein Structure Prediction
DigitalCommons@IMSA reflects the scholarly, innovative, and pedagogical culture of the Illinois Mathematics and Science Academy. The goal of this institutional portfolio is to share the intellectual output of IMSA and to increase visibility and impact through worldwide access · This full-text, ...
🌐
BiologicsCorp
biologicscorp.com › blog › protein-structure-prediction-methods-introduction
Protein Structure Prediction Methods Introduction
April 18, 2017 - Protein structure prediction is one of the most important goals pursued by bioinformatics and theoretical chemistry; it is highly important in medicine (for example, in drug design) and biotechnology (for example, in the design of novel enzymes).
🌐
Longdom Publishing SL
longdom.org › open-access › importance-and-future-prospective-of-protein-structure-prediction-93587.html
Importance and Future Prospective of Protein Structure Prediction
August 15, 2022 - It is far simpler to create a protein sequence than to figure out its structure. However, a protein's structure offers significantly more information about its function than its sequence. As a result, various techniques for computing protein structure prediction from sequence have been created.
🌐
Nature
nature.com › subjects › protein structure predictions
Protein structure predictions - Latest research and news | Nature
In the meantime, to ensure continued ... automatically using the protein amino acid sequence. Protein structures are important because structural features can shed light on biological functions....
🌐
PI IP LAW
piip.co.kr › en › blog › alphafold-protein-structure-prediction-importance-1
Why Does Predicting a Protein’s 3D Structure Matter? The Biological Impact of AI System AlphaFold | Bio-Med | PI IP LAW
April 9, 2021 - Additionally, although most of the predictions were highly accurate, the system is not perfect. The AI-based algorithm encountered difficulties modeling certain proteins, structures in protein complexes or in interaction with other proteins for instance. What is important is that we only have experimental structures for just a small portion of all the different proteins that exist, and a system like AlphaFold will allow scientists to get a “good structure” using just publicly available and easier-to-collect experimental data.
🌐
Bitesize Bio
bitesizebio.com › 74900 › protein-structure-prediction
Protein Structure Prediction: A Beginner's Guide to Free Tools and Methods
February 6, 2026 - So, if you want the protein’s structure solely for its own sake, and it’s super important that the structure is accurate, then you will need to consider if prediction tools are really a valid and sensible substitute for traditional techniques such as crystallography, NMR, or cryo-electron microscopy. In other words, if your conclusions are based solely on a protein’s structure, and you cannot support these conclusions with any sort of experimental work, you will naturally want to use a model with very high accuracy to avoid erroneous conclusions.
Top answer
1 of 3
3

How do you want to predict function and binding partners without knowing how your protein looks like? The sequence itself contains only limited information. Similar sequences might fold into similar structures with similar functions. These motifs can be used to transfer your knowledge from one protein to another, which might have similar e.g. binding abilities. But the motif might be nonfunctional in the second protein, because it is hidden in an inaccessible part of the protein due to its folding structure.

Interactions between proteins are weak compared to intramolecular bonds and dynamic. Different amino acid side chains have different characteristics (like polarity, hydrophobia etc.) which make specific interactions possible. Specific amino acids have to be accessible and while they might be far apart in the sequence, the folding of the protein brings them close together in its final shape.

Even small modifications like phosphorylation can alter the structural conformation significantly and e.g. change the enzymatic activity. Therefore, for analyzing protein function, finding binding partners or designing binding compounds (drug development), we need to know its three-dimensional structure. With the structure you can simulate binding affinity/dynamics. Scientists also try to resolve the protein structure in its different states to clearly see the differences.

Keep in mind that complex diseases can be caused by a single mutation, which exchanges only a single amino acid in the sequence but can have severe implications for protein function. Knowing the structure, the position of the amino acid and how the change affects the characteristics of the protein domain (e.g. charge), we can fully understand what's happening on the molecular level.

Since it is far from trivial to analyze the structure of a protein, predictions bridge the gap for functional predictions until the molecular structure of the protein has been reconstructed. But only with atomic resolution you will be able to properly identify interactions.

The question of how to do structural prediction might be beyond the scope of this answer. Pubmed lists around 400 papers each year on this topic. Depending on the amount of information you have about the protein or its family members (proteins with very similar sequences), you can use other known structures to predict an unknown structure:

https://medium.com/@HeleneOMICtools/a-guide-for-protein-structure-prediction-methods-and-software-916a2f718cfe

2 of 3
1

There are several reasons why understanding protein structure is useful; the most obvious is that drugs that interfere with a specific protein can be deliberately designed based on the protein structure.

Today, even though there is still quite a bit of fine-tuning necessary to perfect the process, structure-based drug design is an integral part of most industrial drug discovery programs [4] and is the major subject of research for many academic laboratories. ... The process of structure-based drug design is an iterative one ... Additional cycles include synthesis of the optimized lead, structure determination of the new target:lead complex, and further optimization of the lead compound. After several cycles of the drug design process, the optimized compounds usually show marked improvement in binding and, often, specificity for the target.

--The Process of Structure-Based Drug Design

🌐
Front Line Genomics
frontlinegenomics.com › home › ai models for protein structure prediction
AI Models For Protein Structure Prediction - Front Line Genomics
August 4, 2025 - Therefore, making accurate protein structure predictions is essential for understanding biological mechanisms and designing novel therapeutics, enzymes and biomaterials. Historically, determining protein structures relied heavily on experimental ...
🌐
Quora
quora.com › Why-is-protein-structure-prediction-important
Why is protein structure prediction important? - Quora
Answer (1 of 7): Proteins are polymers of amino acids. Just knowing the sequence of amino acids is not enough because the proteins may fold in varied manners depending on energy conformation, steric factors, temperature, pH, concentration, etc. If the protein structure is known, then one can pre...
🌐
DigitalCommons@IMSA
digitalcommons.imsa.edu › protein_folding › 7
"Poster 7: Importance of Protein Structure Prediction" by Michael Qian '16, Sarah Dovgin '16 et al.
Initially, drugs were discovered by either chance or by trial and error through screening methods. Because scientists did not have the ability to model protein structures, drug discovery was a very expensive process. Currently, researchers are working on technologies to determine protein ligands and potential drugs through the usage of predicted protein structures.
🌐
Chemistry World
chemistryworld.com › news › explainer-why-have-protein-design-and-structure-prediction-won-the-2024-nobel-prize-in-chemistry › 4020309.article
Explainer: Why have protein design and structure prediction won the 2024 Nobel prize in chemistry? | News | Chemistry World
January 13, 2025 - Other experimental methods such as NMR and cryo-EM have since been added to the toolkit and researchers have now determined the structures of around 200,000 proteins. In 1972, American biochemist Christian Anfinsen was awarded the Nobel prize in chemistry for his discovery that it is the sequence of amino acids that determines the way the polypeptide chain folds itself and that no additional genetic information is required. That means it should be possible, in theory, to predict the shape of a protein just by knowing its amino acid sequence.