AIMC Topic: Proteins

Clear Filters Showing 481 to 490 of 1967 articles

A deep learning model for predicting optimal distance range in crosslinking mass spectrometry data.

Proteomics May 3, 2023
Macromolecular assemblies play an important role in all cellular processes. While there has recently been significant progress in protein structure prediction based on deep learning, large protein complexes cannot be predicted with these approaches. ...
Deep Learning Models, Molecular Cross-Linking Reagents Mass Spectrometry Proteins
View on PubMed DOI

De novo design of protein interactions with learned surface fingerprints.

Nature Apr 26, 2023
Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. ...
Synthetic Biology Binding Sites Proteins Deep Learning Protein Interaction Maps Humans Protein Binding Computer Simulation Proteomics
View on PubMed DOI

MutBLESS: A tool to identify disease-prone sites in cancer using deep learning.

Biochimica et biophysica acta. Molecular basis of disease Apr 25, 2023
Understanding the molecular basis and impact of mutations at different stages of cancer are long-standing challenges in cancer biology. Identification of driver mutations from experiments is expensive and time intensive. In the present study, we coll...
Neural Networks, Computer Female Breast Neoplasms Deep Learning Humans Proteins Amino Acids
View on PubMed DOI

Do "Newly Born" orphan proteins resemble "Never Born" proteins? A study using three deep learning algorithms.

Proteins Apr 24, 2023
"Newly Born" proteins, devoid of detectable homology to any other proteins, known as orphan proteins, occur in a single species or within a taxonomically restricted gene family. They are generated by the expression of novel open reading frames, and a...
Proteins Amino Acids Amino Acid Sequence Algorithms Deep Learning
View on PubMed DOI

Measuring cryo-TEM sample thickness using reflected light microscopy and machine learning.

Journal of structural biology Apr 24, 2023
In cryo-transmission electron microscopy (cryo-TEM), sample thickness is one of the most important parameters that governs image quality. When combining cryo-TEM with other imaging methods, such as light microscopy, measuring and controlling the samp...
Cryoelectron Microscopy Mammals Microscopy, Electron, Transmission Machine Learning Software Animals Proteins
View on PubMed DOI

Exploiting conformational dynamics to modulate the function of designed proteins.

Proceedings of the National Academy of Sciences of the United States of America Apr 24, 2023
With the recent success in calculating protein structures from amino acid sequences using artificial intelligence-based algorithms, an important next step is to decipher how dynamics is encoded by the primary protein sequence so as to better predict ...
Artificial Intelligence Amino Acid Sequence Ligands Peptides Proteins Protein Conformation
View on PubMed DOI

From Deep Mutational Mapping of Allosteric Protein Landscapes to Deep Learning of Allostery and Hidden Allosteric Sites: Zooming in on "Allosteric Intersection" of Biochemical and Big Data Approaches.

International journal of molecular sciences Apr 24, 2023
The recent advances in artificial intelligence (AI) and machine learning have driven the design of new expert systems and automated workflows that are able to model complex chemical and biological phenomena. In recent years, machine learning approach...
Proteins Allosteric Site Deep Learning Artificial Intelligence Big Data
View on PubMed DOI

DrugormerDTI: Drug Graphormer for drug-target interaction prediction.

Computers in biology and medicine Apr 23, 2023
Drug-target interactions (DTI) prediction is a crucial task in drug discovery. Existing computational methods accelerate the drug discovery in this respect. However, most of them suffer from low feature representation ability, significantly affecting...
Drug Development Drug Interactions Proteins Molecular Docking Simulation Neural Networks, Computer Drug Discovery
View on PubMed DOI

DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes.

Computational biology and chemistry Apr 22, 2023
B-Cell epitopes (BCEs) can identify and bind with receptor proteins (antigens) to initiate an immune response against pathogens. Understanding antigen-antibody binding interactions has many applications in biotechnology and biomedicine, including des...
Epitopes, B-Lymphocyte Proteins Deep Learning Neural Networks, Computer Computational Biology Algorithms
View on PubMed DOI

Deep learning for optimization of protein expression.

Current opinion in biotechnology Apr 21, 2023
Advances in high-throughput DNA synthesis and sequencing have fuelled the use of massively parallel reporter assays for strain characterization. These experiments produce large datasets that map DNA sequences to protein expression levels, and have sp...
Bioengineering Deep Learning Recombinant Proteins Proteins
View on PubMed DOI
Popular Topics
Recent Journals