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Protein Structure Prediction in Drug Discovery [PDF]

open access: yesBiomolecules, 2023
When the results of DeepMind’s AlphaFold2 at CASP were announced in 2020, the scientific world was so amazed by how effectively it performed that “it will change everything” became the motto for this revolution [...]
Alessandro Paiardini
doaj   +2 more sources

Conformational ensembles for protein structure prediction [PDF]

open access: yesScientific Reports
Acquisition of conformational ensembles for a protein is a challenging task, which is actually involving to the solution for protein folding problem and the study of intrinsically disordered protein.
Jiaan Yang   +9 more
doaj   +2 more sources

Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms [PDF]

open access: yesGenomics, Proteomics & Bioinformatics, 2023
Protein structure prediction is an interdisciplinary research topic that has attracted researchers from multiple fields, including biochemistry, medicine, physics, mathematics, and computer science.
Bin Huang   +10 more
doaj   +2 more sources

Protein Structure Prediction [PDF]

open access: yes, 2009
Práce popisuje prostorovou strukturu molekul bílkovin a databází uchovávajících representace této struktury, či její hierarchické klasifikace. Je poskytnut přehled současných metod výpočetní predikce struktury bílkovin, přičemž největší pozornost je ...
Tuček, Jaroslav
core   +3 more sources

Protein Structure Prediction [PDF]

open access: yesBiophysical Journal, 2008
Protein structure prediction has matured over the past few years to the point that even fully automated methods can provide reasonably accurate three-dimensional models of protein structures. However, until now it has not been possible to develop programs able to perform as well as human experts, who are still capable of systematically producing better
AlLazikani B, Hill EE, Morea V
  +11 more sources

Deep template-based protein structure prediction.

open access: yesPLoS Computational Biology, 2021
MotivationProtein structure prediction has been greatly improved by deep learning, but most efforts are devoted to template-free modeling. But very few deep learning methods are developed for TBM (template-based modeling), a popular technique for protein
Fandi Wu, Jinbo Xu
doaj   +1 more source

Protein structure prediction [PDF]

open access: yesInternational Journal of Modern Physics B, 2018
Predicting 3D structure of protein from its amino acid sequence is one of the most important unsolved problems in biophysics and computational biology. This paper attempts to give a comprehensive introduction of the most recent effort and progress on protein structure prediction.
Haiyou, Deng, Ya, Jia, Yang, Zhang
openaire   +3 more sources

How long is a piece of loop? [PDF]

open access: yesPeerJ, 2013
Loops are irregular structures which connect two secondary structure elements in proteins. They often play important roles in function, including enzyme reactions and ligand binding. Despite their importance, their structure remains difficult to predict.
Yoonjoo Choi   +2 more
doaj   +2 more sources

TMbed: transmembrane proteins predicted through language model embeddings

open access: yesBMC Bioinformatics, 2022
Background Despite the immense importance of transmembrane proteins (TMP) for molecular biology and medicine, experimental 3D structures for TMPs remain about 4–5 times underrepresented compared to non-TMPs.
Michael Bernhofer, Burkhard Rost
doaj   +1 more source

Computational Approach for Protein Structure Prediction [PDF]

open access: yesHealthcare Informatics Research, 2013
ObjectivesTo predict the structure of protein, which dictates the function it performs, a newly designed algorithm is developed which blends the concept of self-organization and the genetic algorithm.MethodsAmong many other approaches, genetic algorithm ...
Amouda Venkatesan   +4 more
doaj   +1 more source

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