It has been observed that heavy meromyosin (HMM) propels actin filaments to higher velocities than native myosin in the in vitro motility assay, yet the reason for this difference has remained unexplained. Since the major difference between these two proteins is the presence of the tail in native myosin, we tested the hypothesis that unknown interactions between actin and the tail (LMM) slow mo...

The binding of actin to heavy meromyosin (HMM) in the presence of ATP was studied by analytical ultracentrifuge and ATPase studies. At 0 degrees C, at very low ionic strength, the double-reciprocal plot of HMM ATPase against actin concentration is linear. If one assumes that all of the HMM is bound to actin when the ATPase activity equals V(max), then, at an actin concentration where the actin-...

For biological sequence analysis Hidden Markov Model (HMM) have been used widely in many applications. It has provided solution for various biological sequence analysis problems. In this paper, we first elucidate the fundamentals of HMM, biological sequence analysis and description of the most important algorithms of HMM. This paper especially focusing on HMM and its various types like Profile ...

Given an unlabeled protein sequence S and a known superfamily F, we wish to determine whether or not S belongs to F. We refer to F as the target class and the set of sequences not in F as the non-target class. In general, a superfamily is a group of proteins that share similarities in structure and/or function. If the unlabeled sequence S is detected to belong to F, then one can infer the struc...

BACKGROUND Home management of malaria (HMM), promoting presumptive treatment of febrile children in the community, is advocated to improve prompt appropriate treatment of malaria in Africa. The cost-effectiveness of HMM is likely to vary widely in different settings and with the antimalarial drugs used. However, no data on the cost-effectiveness of HMM programmes are available. METHODS/PRINCI...

Identification of protein domains is a key step for understanding protein function. Hidden Markov Models (HMMs) have proved to be a powerful tool for this task. The Pfam database notably provides a large collection of HMMs which are widely used for the annotation of proteins in sequenced organisms. This is done via sequence/HMM comparisons. However, this approach may lack sensitivity when searc...