A Ranking-Based Scoring Function for Peptide−Spectrum Matches
نویسندگان
چکیده
منابع مشابه
A ranking-based scoring function for peptide-spectrum matches.
The analysis of the large volume of tandem mass spectrometry (MS/MS) proteomics data that is generated these days relies on automated algorithms that identify peptides from their mass spectra. An essential component of these algorithms is the scoring function used to evaluate the quality of peptide-spectrum matches (PSMs). In this paper, we present new approach to scoring of PSMs. We argue that...
متن کاملOPUS‐CSF: A C‐atom‐based scoring function for ranking protein structural models
We report a C-atom-based scoring function, named OPUS-CSF, for ranking protein structural models. Rather than using traditional Boltzmann formula, we built a scoring function (CSF score) based on the native distributions (derived from the entire PDB) of coordinate components of mainchain C (carbonyl) atoms on selected residues of peptide segments of 5, 7, 9, and 11 residues in length. In testin...
متن کاملRanking Based Multitask Learning of Scoring Functions
Scoring functions are an important tool for quantifying properties of interest in many domains; for example, in healthcare, a disease severity scores are used to diagnose the patient’s condition and to decide its further treatment. Scoring functions might be obtained based on the domain knowledge or learned from data by using classification, regression or ranking techniques depending on the typ...
متن کاملDrugScorePPI for scoring protein-protein interactions: improving a knowledge-based scoring function by atomtype-based QSAR
Protein-protein complexes are known to play key roles in many cellular processes. Therefore, knowledge of the three-dimensional structure of protein-complexes is of fundamental importance. A key goal in protein-protein docking is to identify near-native protein-complex structures. In this work, we address this problem by deriving a knowledge-based scoring function from protein-protein complex s...
متن کاملA Fuzzy-based Scoring Rule for Author Ranking - An Alternative of h-index
The measurement of the quality of research has reached nowadays an increasing interest not only for scientific reasons but also for the critical problem of researchers' ranking, due to the lack of grant assignments. The most commonly used approach is based on the so-called $h$index, even if the current literature debated a lot about its pros and cons. This paper, after a brief review of the $h$...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Proteome Research
سال: 2009
ISSN: 1535-3893,1535-3907
DOI: 10.1021/pr800678b