OPUS-Ca: A knowledge-based potential function requiring only Cα positions
نویسندگان
چکیده
منابع مشابه
A program director’s perspective: advanced positions versus physician-only positions - What’s the best for my program?
N/A
متن کاملAn Improved Probability Density Function for Representing Landmark Positions in Bearing-Only SLAM Systems
To navigate successfully, a mobile robot must be able to estimate the spatial relationships of the objects of interest in its environment accurately. The main advantage of a bearing-only SLAM (Simultaneous Localization and Mapping) system is that it requires only a cheap vision sensor to enable a mobile robot to gain knowledge of its environment and navigate. In this paper, we focus on the repr...
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 کاملA Boolean Function Requiring 3n Network Size
Paul [ PJ first proved a 2.Sn-Iower bound for the network complex ity of an explicit boole an function. We mo dify the defi n ition of Pa ul's func tion a little a nd prove a 3n-I ower bound for th e network complexity of that function.-1
متن کاملA Novel High Resolution Cα-Cα Distance Dependent Force Field Based On A High Quality Decoy Set
This work presents a novel C-C distance dependent force field which is successful in selecting native structures from an ensemble of high resolution near-native conformers. An enhanced and diverse protein set, along with an improved decoy generation technique, contributes to the effectiveness of this potential. High quality decoys (structures with low root mean square deviation with respect to ...
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: Protein Science
سال: 2007
ISSN: 0961-8368,1469-896X
DOI: 10.1110/ps.072796107