Describe the typical principles used to identify topogenic sequences within proteins and how these principles can be used to develop computer algorithms. How does the identification of topogenic sequences lead to prediction of the membrane arrangement of a multipass protein

Topogenic sequences share a series of structural features, and thereby computational algorithms can be used to predict these protein-membrane segments  

Explanation:

Topogenic sequences are protein segments formed by alpha-helical transmembrane domains, which are required for the insertion of membrane proteins. These domains share a series of well-defined features: they are composed of segments of about 20 hydrophobic amino-acid residues. In consequence, computational algorithms can be designed to identify protein patterns that fulfill these structural requirements (i.e. segments with a length of 20 residues, hydrophobic level, etc). The models assign a similarity threshold (threshold value) that predict if the similarity level of the protein pattern is good enough to detect a topogenic segment.

tissue

explanation:

it is actually formed by geoup of cells which is tissue

the relative atomic mass of an element is the mass of one atom of that element, relative to 1/12th of the mass of a  1212c atom. to convert to an absolute mass in kg, it is necessary to multiply by  1.661×10−271.661×10−27.

the relative atomic mass is roughly equal to the number of neutrons, plus the number of protons, in the nucleus of the atom.

for elements with more than one stable isotope (different types of nucleus with different numbers of neutrons but the same number of protons), the quoted mass is usually the average mass, weighted by the relative abundance of the different isotopes.