Theory of protein secondary structure and algorithm of its prediction

Prediction of exposure degree diagram and sites of limited proteolysis in globular proteins as an approach to computer-aided design of protein bioregulators with prolonged action

In order to prolong the lifetime of protein bioregulators in blood it is possible to engineer analogs with protected sites of limited proteolysis. To determine the sites, primarily accessible to trypsin-like proteases, a computer procedure has been developed, including a prediction algorithm, to produce the residue diagram of a globular protein and a discriminant algorithm to determine the sites most liable to proteolysis. The accuracy of prediction of amino acid residue exposure is characterised by correlation coefficients between experimental and theoretical exposure values, the coefficients being about 0.7 as calculated for 10 globular proteins. The classification of Arg and Lys residues into two groups, susceptible or insusceptible to protease, has an error percentage of about 25.

Prediction of secondary structure, spatial organization and distribution of antigenic determinants for hepatitis A virus proteins

On the basis of the secondary structure calculations from the known amino acid sequence we came to the conclusion that hepatitis A virus capsid proteins have the typical antiparallel beta-sheet bilayer structure. The predicted secondary structure of the HAV proteins can be well aligned with those of the poliovirus (type 1 Mahoney) and human rhinovirus (type 14). It enabled us to use the X-ray structure of the PV-1M and HRV-14 proteins as a template and then, firstly, to localize the positions of alpha and beta regions in the architecture of the HAV protein molecules and, secondly, to discover the amino acid homologies of the secondary structure regions aligned. The obtained model of the three-dimensional structure for HAV proteins helped us to indicate the exposed regions of the polypeptide chains and to pinpoint the potential neutralizing antigenic sites.

Protein structure and neutral theory of evolution

The neutral theory of evolution is extended to the origin of protein molecules. Arguments are presented which suggest that the amino acid sequences of many globular proteins mainly represent "memorized" random sequences while biological evolution reduces to the "editing" these random sequences. Physical requirements for a functional globular protein are formulated and it is shown that many of these requirement do not involve strategical selection of amino acid sequences during biological evolution but are inherent also for typical random sequences. In particular, it is shown that random sequences of polar and amino acid residues can form alpha-helices and beta-strand with lengths and arrangement along the chain similar to those in real globular proteins. These alpha- and beta-regions in random sequences can form three-dimensional folding patterns also similar to those in proteins. The arguments are presented suggesting that even the tight packing of side groups inside protein core do not require very strong biological selection of amino acid sequences either. Thus many structural features of real proteins can exist also in random sequences and the biological selection is needed mainly for the creation of active site of protein and for their stability under physiological conditions.

Poliovirus-encoded proteinase 3C: a possible evolutionary link between cellular serine and cysteine proteinase families

Here we demonstrate significant similarities between the amino acid sequences of trypsin (a serine protease) and the N-terminal piece of a specific fragment of the poliovirus polyprotein encompassing the sequence of the viral proteinase 3C, and also between cathepsin H (a cysteine protease) and the C-terminal piece of the same fragment. A coherent alignment of the sequences of the 3 proteases was obtained, in which the principal catalytically active residues occupy identical positions. A hypothesis is proposed that the viral enzyme may provide an evolutionary link between serine and cysteine protease families.

Structural model for interferons

Secondary structures of leucocyte alpha 1- and alpha 2-interferons and of fibroblast beta-interferon are calculated using the molecular theory of protein secondary structures. The common secondary structure calculated for alpha- and beta-interferons is used to predict the three-dimensional structures of fragments 1-110 and 111-166 of the chains (which are supposed to be quasi-independent domains). The predicted structure of the active domain I (1-110) is an 'up-and-down' tetrahelical complex (in which the second helix is shorter than the others and can be absent in alpha 1-interferon) similar to the mirror image of myohaemoerythrin. The predicted structure of domain II (111-166) is either a three-stranded beta-sheet screened from one side by two alpha-helices or a three-helical complex (similar to that in the N-domain of papain), the first structure being more consistent with the circular dichroism data of alpha-interferon and its C-end fragment.

Conservation of the secondary structure of protein during evolution and the role of the genetic code

In this communication we demonstrate, in a group of modern proteins, following an algorithm described by Argyle (1980), that the ordination of the amino acids in terms of the most frequent substitutions agrees with the conservation of the alpha-helix, beta-sheet, and beta-turn formation tendencies during evolution. The same correspondence has been demonstrated for the conservation of the physico-chemical properties in the amino acid substitutions. Both parameters are similar in showing higher correlation with the most frequent amino acid substitutions than with the feasibility of changes at the level of the respective codons. Some kind of restrictions for the expression of the genomic changes, due to the conservation of the secondary structure of proteins and/or the physicochemical properties of the substituted amino acids, could account for the differences found between the distribution of the amino acid substitutions and the most probable codon changes.

A novel type of crystallin in the frog eye lens. 35-kDa polypeptide is not homologous to any of the major classes of lens crystallins

The nucleotide sequence of a cloned DNA coding for the 35-kDa polypeptide of the eye lens of the frog (Rana temporaria) has been determined. The sequence without connectors and poly(A) tract is 889 nucleotides in length and shows no homology with sequences coding for other classes of crystallins: alpha-, beta-, gamma- or delta-crystallins. The sequence contains one reading frame 675 nucleotides in length, an apparently intact 3'-non-translated region with the polyadenylation signal sequence and a poly(A) tract; the 5'-non-translated region is lost along with part of the coding region; this accounts for about 1/4 of the total mRNA length. The secondary structure prediction according to the Ptitsin - Finkelstein method shows the presence of predominantly beta-strands with only a few alpha-helical regions. We conclude that the 35-kDa polypeptide from the frog eye lens belongs to a new class of eye lens crystallins for which we propose the name epsilon-crystallin.

On the use of sequence homologies to predict protein structure: identical pentapeptides can have completely different conformations

The search for amino acid sequence homologies can be a powerful tool for predicting protein structure. Discovered sequence homologies are currently used in predicting the function of oncogene proteins. To sharpen this tool, we investigated the structural significance of short sequence homologies by searching proteins of known three-dimensional structure for subsequence identities. In 62 proteins with 10,000 residues, we found that the longest isolated homologies between unrelated proteins are five residues long. In 6 (out of 25) cases we saw surprising structural adaptability: the same five residues are part of an alpha-helix in one protein and part of a beta-strand in another protein. These examples show quantitatively that pentapeptide structure within a protein is strongly dependent on sequence context, a fact essentially ignored in most protein structure prediction methods: just considering the local sequence of five residues is not sufficient to predict correctly the local conformation (secondary structure). Cooperativity of length six or longer must be taken into account. Also, we are warned that in the growing practice of comparing a new protein sequence with a data base of known sequences, finding an identical pentapeptide sequence between two proteins is not a significant indication of structural similarity or of evolutionary kinship.

Recognition of signal sequences

The hypothesis assumes that every continuous, entirely hydrophobic sequence of sufficient length, which is not involved in strong intramolecular contacts with other parts of the nascent protein chain, will function as a signal for translocation across the endoplasmic reticulum membrane or across the inner bacterial membrane. The signal peptide is proposed to be deeply immersed into a hydrophobic cleft of the receptor. Accordingly, only the entirely nonpolar peptides can be absorbed and, despite different primary structures, all of them would assume the same conformation dictated by the structure of the receptor pocket.

Structural organization of C-terminal parts of fibrinogen A alpha-chains

Calorimetric studies of fibrinogen melting and of its early degradation products have shown that the C-terminal parts of both the A alpha-chains form structural domains which strongly interact with each other in the native fibrinogen molecule.

How good are predictions of protein secondary structure?

The three most widely used methods for the prediction of protein secondary structure from the amino acid sequence are tested on 62 proteins of known structure using a program package and data collection not previously available. None of these methods predicts better than 56% of the residues correctly, for a three state model (helix, sheet and loop). The algorithms of Robson et al. [J. Mol. Biol. (1978) 120, 97-120] and Lim [J. Mol. Biol. (1974) 88, 873-894] are the best of those tested. New methods, now under development, can be tested against this benchmark.