Solvent accessible surface area approximations for rapid and accurate protein structure prediction
✍ Scribed by Elizabeth Durham; Brent Dorr; Nils Woetzel; René Staritzbichler; Jens Meiler
- Book ID
- 106240039
- Publisher
- Springer-Verlag
- Year
- 2009
- Tongue
- English
- Weight
- 492 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1610-2940
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## Abstract Although quantities derived from solvent accessible surface areas (SASA) are useful in many applications in protein design and structural biology, the computational cost of accurate SASA calculation makes SASA‐based scores difficult to integrate into commonly used protein design methodo
## Abstract Accurate prediction of protein secondary structure is essential for accurate sequence alignment, three‐dimensional structure modeling, and function prediction. The accuracy of __ab initio__ secondary structure prediction from sequence, however, has only increased from around 77 to 80% o
## Abstract Continuing advances in computer hardware and software are permitting atomic‐resolution molecular simulations for longer time scales and on larger systems. Despite these advances, routinely performing atomistic simulations with explicit water for even small proteins, which reach the fold
## Abstract Predicting the solvent accessible surface area (ASA) of transmembrane (TM) residues is of great importance for experimental researchers to elucidate diverse physiological processes. TM residues fall into two major structural classes (α‐helix membrane protein and β‐barrel membrane protei