The journal of physical chemistry B
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bioRxiv
PSPire: a machine learning predictor for high-performance screening of phase-separating proteins without intrinsically disordered regions
Jun
23
Gordon Research Conference: Intrinsically Disordered Proteins–Biophysics and Biology of Intrinsically Disordered Proteins (GRC-IDP 2024)
Sunday, June 23, 2024 | Les Diablerets, Switzerland
Briefings in bioinformatics
PredLLPS_PSSM: a novel predictor for liquid-liquid protein separation identification based on evolutionary information and a deep neural network
bioRxiv
Mechanisms of active diffusion of vesicular stomatitis virus inclusion bodies and cellular early endosomes in the cytoplasm of mammalian cells
Protein science : a publication of the Protein Society
IFF: Identifying key residues in intrinsically disordered regions of proteins using machine learning
International journal of biological sciences
Emerging Pharmacotherapeutic Strategies to Overcome Undruggable Proteins in Cancer
Scientist/Sr. Scientist – Cheminformatics (m/f/d)
Dewpoint Therapeutics | Frankfurt, Germany
ApplybioRxiv
SHARK enables homology assessment in unalignable and disordered sequences
Life (Basel, Switzerland)
Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods
Journal of cancer research and clinical oncology
Comprehensive landscape of the miRNA-regulated prognostic marker LAYN with immune infiltration and stemness in pan-cancer
bioRxiv
Active learning of the thermodynamics–dynamics tradeoff in protein condensates
bioRxiv
PICNIC identifies condensate-forming proteins across organisms
Nature methods
Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps
Briefings in bioinformatics
Fast and accurate protein intrinsic disorder prediction by using a pretrained language model
bioRxiv
SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis
Genome Biology
Decoding enhancer complexity with machine learning and high-throughput discovery
Chemical reviews
Theoretical and Data-Driven Approaches for Biomolecular Condensates
bioRxiv
Direct prediction of intrinsically disordered protein conformational properties from sequence
NAR genomics and bioinformatics