![Analysis of transient membrane protein interactions by single-molecule diffusional mobility shift assay | Experimental & Molecular Medicine Analysis of transient membrane protein interactions by single-molecule diffusional mobility shift assay | Experimental & Molecular Medicine](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs12276-021-00567-1/MediaObjects/12276_2021_567_Fig1_HTML.png)
Analysis of transient membrane protein interactions by single-molecule diffusional mobility shift assay | Experimental & Molecular Medicine
![Predicting transmembrane protein topology with a hidden markov model: application to complete genomes - ScienceDirect Predicting transmembrane protein topology with a hidden markov model: application to complete genomes - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0022283600943158-gr1a.jpg)
Predicting transmembrane protein topology with a hidden markov model: application to complete genomes - ScienceDirect
![Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2001037021000775-ga1.jpg)
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
![TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12859-022-04873-x/MediaObjects/12859_2022_4873_Fig2_HTML.png)
TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text
![MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction | Nano-Micro Letters MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction | Nano-Micro Letters](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs40820-017-0156-2/MediaObjects/40820_2017_156_Figa_HTML.gif)
MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction | Nano-Micro Letters
![Methods for Systematic Identification of Membrane Proteins for Specific Capture of Cancer-Derived Extracellular Vesicles - ScienceDirect Methods for Systematic Identification of Membrane Proteins for Specific Capture of Cancer-Derived Extracellular Vesicles - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2211124719303109-fx1.jpg)
Methods for Systematic Identification of Membrane Proteins for Specific Capture of Cancer-Derived Extracellular Vesicles - ScienceDirect
![TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12859-022-04873-x/MediaObjects/12859_2022_4873_Fig1_HTML.png)
TMbed: transmembrane proteins predicted through language model embeddings | BMC Bioinformatics | Full Text
![Biology | Free Full-Text | Evaluation of the Effectiveness of Derived Features of AlphaFold2 on Single-Sequence Protein Binding Site Prediction Biology | Free Full-Text | Evaluation of the Effectiveness of Derived Features of AlphaFold2 on Single-Sequence Protein Binding Site Prediction](https://www.mdpi.com/biology/biology-11-01454/article_deploy/html/images/biology-11-01454-g001.png)
Biology | Free Full-Text | Evaluation of the Effectiveness of Derived Features of AlphaFold2 on Single-Sequence Protein Binding Site Prediction
![The graphical output of TMHMM, showing the posterior probabilities for... | Download Scientific Diagram The graphical output of TMHMM, showing the posterior probabilities for... | Download Scientific Diagram](https://www.researchgate.net/publication/6381696/figure/fig6/AS:267791420882955@1440857858199/The-graphical-output-of-TMHMM-showing-the-posterior-probabilities-for-transmembrane.png)
The graphical output of TMHMM, showing the posterior probabilities for... | Download Scientific Diagram
![AF2Complex predicts direct physical interactions in multimeric proteins with deep learning | Nature Communications AF2Complex predicts direct physical interactions in multimeric proteins with deep learning | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-022-29394-2/MediaObjects/41467_2022_29394_Fig1_HTML.png)
AF2Complex predicts direct physical interactions in multimeric proteins with deep learning | Nature Communications
![IJMS | Free Full-Text | RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors IJMS | Free Full-Text | RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors](https://pub.mdpi-res.com/ijms/ijms-23-12176/article_deploy/html/images/ijms-23-12176-g001.png?1666750852)
IJMS | Free Full-Text | RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors
![Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis | PNAS Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis | PNAS](https://www.pnas.org/cms/10.1073/pnas.1120036109/asset/2d632d73-dd7e-4c76-adb3-ab0be8ff06e0/assets/graphic/pnas.1120036109figp1.jpeg)
Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis | PNAS
![Revealing the mechanisms of membrane protein export by virulence-associated bacterial secretion systems | Nature Communications Revealing the mechanisms of membrane protein export by virulence-associated bacterial secretion systems | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-018-05969-w/MediaObjects/41467_2018_5969_Fig1_HTML.png)
Revealing the mechanisms of membrane protein export by virulence-associated bacterial secretion systems | Nature Communications
![Molecules | Free Full-Text | Benchmark Evaluation of Protein–Protein Interaction Prediction Algorithms Molecules | Free Full-Text | Benchmark Evaluation of Protein–Protein Interaction Prediction Algorithms](https://www.mdpi.com/molecules/molecules-27-00041/article_deploy/html/images/molecules-27-00041-g001.png)
Molecules | Free Full-Text | Benchmark Evaluation of Protein–Protein Interaction Prediction Algorithms
![MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters - Nguyen - 2022 - Molecular Informatics - Wiley Online Library MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters - Nguyen - 2022 - Molecular Informatics - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/a056787e-b856-42fd-96c9-e1adaceaeccf/minf202100271-toc-0001-m.jpg)