The AlphaPept_ms2_generic model taken from https://github.com/MannLabs/alphapeptdeep exported in a Triton compatible format. If you use this model please cite the following paper. Wen-Feng Zeng, Xie-Xuan Zhou, Sander Willems, Constantin Ammar, Maria Wahle, Isabell Bludau, Eugenia Voytik, Maximillian T. Strauss & Matthias Mann. AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics. Nat Commun 13, 7238 (2022). https://doi.org/10.1038/s41467-022-34904-
The ms2pip/model_20210416_HCD2021_Y model taken from https://github.com/compomics/ms2pip exported in...
AlphaFold is a neural-network-based tool for the prediction of 3D structures of protein. In CASP14, ...
Intrinsically disordered proteins (IDPs) and regions (IDRs) are a class of functionally important pr...
The AlphaPept_ms2_generic model taken from https://github.com/MannLabs/alphapeptdeep exported in a T...
The AlphaPept_ccs_generic model taken from https://github.com/MannLabs/alphapeptdeep exported in a T...
Machine learning and in particular deep learning (DL) are increasingly important in mass spectrometr...
The Prosit Intensity prediction model (2019) in Triton compatible format. If you use this model ple...
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensiona...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
The DeepLC model 'full_hc_hela_hf_psms_aligned_1fd8363d9af9dcad3be7553c39396960.hdf5' taken from htt...
The model files and data sets are related to publications of: 1) the research article "Li, C., Suth...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
Proteins are the molecular work horse of the cell and carry out many functional and structural tasks...
: The ability to predict a protein's three-dimensional conformation represents a crucial starting po...
The ms2pip/model_20210416_HCD2021_Y model taken from https://github.com/compomics/ms2pip exported in...
AlphaFold is a neural-network-based tool for the prediction of 3D structures of protein. In CASP14, ...
Intrinsically disordered proteins (IDPs) and regions (IDRs) are a class of functionally important pr...
The AlphaPept_ms2_generic model taken from https://github.com/MannLabs/alphapeptdeep exported in a T...
The AlphaPept_ccs_generic model taken from https://github.com/MannLabs/alphapeptdeep exported in a T...
Machine learning and in particular deep learning (DL) are increasingly important in mass spectrometr...
The Prosit Intensity prediction model (2019) in Triton compatible format. If you use this model ple...
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensiona...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
The DeepLC model 'full_hc_hela_hf_psms_aligned_1fd8363d9af9dcad3be7553c39396960.hdf5' taken from htt...
The model files and data sets are related to publications of: 1) the research article "Li, C., Suth...
Targeted mass spectrometry has become the method of choice to gain absolute quantification informati...
Proteins are the molecular work horse of the cell and carry out many functional and structural tasks...
: The ability to predict a protein's three-dimensional conformation represents a crucial starting po...
The ms2pip/model_20210416_HCD2021_Y model taken from https://github.com/compomics/ms2pip exported in...
AlphaFold is a neural-network-based tool for the prediction of 3D structures of protein. In CASP14, ...
Intrinsically disordered proteins (IDPs) and regions (IDRs) are a class of functionally important pr...