À complex, cascaded neural network designed to predict the secondary structure of globular proteins has been developed. Information about the local buried-unburied pattern and the average tendency of the particular types of amino acids to be buried inside the globule were used. Nonspecific information about long distance contact maps was also employed. These modifications result in a noticeable improvement (3 - 9%) of prediction accuracy. The best result for the average success ratio for the testing set of nonhomologous proteins was 68.3% (with corresponding Matthews' coefficients, C
Soluble somatic extract of adult Acanthocheilonema viteae was resolved into three major peaks - Fr. I, Fr. II and Fr. III by gel-filtration on Sephadex G-200 column. Protein rich Fr. I was highly efficient in detecting haemagglutinating and precipitating antibodies while Fr. II, a carbohydrate rich fraction was reactive in detecting hom ocyt otropic antibodies. Fraction II also reacted feebly in precipitation test. Fraction III was though weakly but exclusively reactive in P-K test. On SDS-PAGE analysis Fr. I revealed 33 protein bands with molecular weights ranging from 25 to 100 kD. The 15 bands of Fr. II remained within the molecular weight range of 10 and 28 kD. Fraction III containing 9 protein components mostly within 17 kD when used as immunogen caused significant reduction in microfilaraemia (P<0.001) and lowered adult worm recovery (P<0.05) as compared to other fractions and control groups.