background and purpose: severity of illness scoring systems is used for the classification of patients to receive medical services, predict the risk of mortality, determine hospital bed occupancy, and assess treatment progress. in iran, these scoring systems are not frequently used due to the lack of knowledge of medical staff. this study aimed to evaluate the effect of education on the knowled...

Molecular docking is an important method for the research of protein-protein interaction and recognition. A protein can be considered as a network when the residues are treated as its nodes. With the contact energy between residues as link weight, a weighted residue network is constructed in this paper. Two weighted parameters (strength and weighted average nearest neighbors' degree) are introd...

Protein-based virtual screening plays an important role in modern drug discovery process. Most protein-based virtual screening experiments are carried out with docking programs. The accuracy of a docking program highly relies on the incorporated scoring function based on various energy terms. The existing scoring functions deal all the energy terms with the equal weight function or other weight...

Sequence alignment depends on the scoring function that defines similarity between pairs of letters. For local alignment, the computational algorithm searches for the most similar segments in the sequences according to the scoring function. The choice of this scoring function is important for correctly detecting segments of interest. We formulate sequence alignment as a hypothesis testing probl...

Computational docking is the core process of computer-aided drug design; it aims at predicting the best orientation and conformation of a small molecule (drug ligand) when bound to a target large receptor molecule (protein) in order to form a stable complex molecule. The docking quality is typically measured by a scoring function: a mathematical predictive model that produces a score representi...

The paper considers a general approach for classifying objects using mathematical programming algorithms. The approach is based on optimizing a utility function, which is quadratic in indicator parameters and is linear in control parameters (which need to be identified). Qualitative characteristics of the utility function, such as monotonicity in some variables, are included using additional co...