Physicochemical and structural studies of bovine growth hormone

Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation

Protein aggregation is behind the genesis of incurable diseases and imposes constraints on drug discovery and the industrial production and formulation of proteins. Over the years, we have been advancing the Aggresscan3D (A3D) method, aiming to deepen our comprehension of protein aggregation and assist the engineering of protein solubility. Since its inception, A3D has become one of the most popular structure-based aggregation predictors because of its performance, modular functionalities, RESTful service for extensive screenings, and intuitive user interface. Building on this foundation, we introduce Aggrescan4D (A4D), significantly extending A3D's functionality. A4D is aimed at predicting the pH-dependent aggregation of protein structures, and features an evolutionary-informed automatic mutation protocol to engineer protein solubility without compromising structure and stability. It also integrates precalculated results for the nearly 500,000 jobs in the A3D Model Organisms Database and structure retrieval from the AlphaFold database. Globally, A4D constitutes a comprehensive tool for understanding, predicting, and designing solutions for specific protein aggregation challenges. The A4D web server and extensive documentation are available at https://biocomp.chem.uw.edu.pl/a4d/. This website is free and open to all users without a login requirement.

AggScore: Prediction of aggregation-prone regions in proteins based on the distribution of surface patches

Protein aggregation is a phenomenon that has attracted considerable attention within the pharmaceutical industry from both a developability standpoint (to ensure stability of protein formulations) and from a research perspective for neurodegenerative diseases. Experimental identification of aggregation behavior in proteins can be expensive; and hence, the development of accurate computational approaches is crucial. The existing methods for predicting protein aggregation rely mostly on the primary sequence and are typically trained on amyloid-like proteins. However, the training bias toward beta amyloid peptides may worsen prediction accuracy of such models when applied to larger protein systems. Here, we present a novel algorithm to identify aggregation-prone regions in proteins termed "AggScore" that is based entirely on three-dimensional structure input. The method uses the distribution of hydrophobic and electrostatic patches on the surface of the protein, factoring in the intensity and relative orientation of the respective surface patches into an aggregation propensity function that has been trained on a benchmark set of 31 adnectin proteins. AggScore can accurately identify aggregation-prone regions in several well-studied proteins and also reliably predict changes in aggregation behavior upon residue mutation. The method is agnostic to an amyloid-specific aggregation context and thus may be applied to globular proteins, small peptides and antibodies.

Selective reduction and alkylation of the COOH-terminal disulfide bridge in bovine growth hormone

Conditions leading to the cleavage of both disulfide bridges in human growth hormone caused the reduction of only one disulfide bond in bovine growth hormone. Partially reduced and alkylated derivatives of bovine growth hormone were prepared and characterized. It was shown that the reduction and alkylation modified the COOH-terminal disulfide bond, however, this modification does not result in the dissociation of the dimeric form of bovine growth hormone or cause a significant loss of growth-promoting activity.

Elephant growth hormone. Isolation and characterization

Growth hormone has been purified to homogeneity from elephant pituitary glands. It has 191 amino acids with two disulfide bridges and a single tryptophan residue. The somatotropin activity is only 15% when compared with the bovine hormone in the radioreceptor binding assay. From circular dichroism spectra alpha-helical content of elephant growth hormone is estimated to be 50%. Difference absorption spectra of the hormone suggest the presence of a hydrogen bond between the single Trp and a carboxylate ion.

The purification and characterization of rabbit placental lactogen

Rabbit placental lactogen, a polypeptide hormone functionally related to the growth hormone/prolactin family, was isolated from placenta by (NH4)2SO4 precipitation, gel filtration and ion-exchange chromatography on DEAE-and CM-cellulose. The hormone was purified to more than 90% homogeneity, as determined by end-group analysis. On disc gel electrophoresis at pH9.0 it migrates as a pair of closely spaced bands with mobilities of 0.489 (minor band) and 0.511 (major band), and its isoelectric point is 6.1. Its mol.wt. is 20600, as determined by sedimentation--equilibrium centrifugation, and 24200, as estimated by gel electrophoresis in sodium dodecyl sulphate. Its amino acid composition resembles that of rabbit growth hormone and rat prolactin, except for a lower glutamic acid and leucine content. Like the prolactins, rabbit placental lactogen has two tryptophan and six cysteine residues, and its N-terminus, valine, is identical with that for human placental lactogen. By radioimmunoassay, it does not cross-react with antisera to either rat growth hormone or rat prolactin; in addition, it does not cross-react with antisera to bovine placental lactogen by double immunodiffusion. The similarity of the biochemical characteristics of rabbit placental lactogen to the other non-primate placental lactogens lends further support to the hypothesis that these molecules occupy a more central position in the growth hormone/prolactin "tree" than do their primate counterparts.

Conformational similarity of ovine prolactin and bovine growth hormone

The behavior and properties of ovine prolactin have been evaluated by measurements of fluorescence, polarization of fluorescence, absorption, optical rotation, and circular dichroism. The helical content of the native molecule at pH 8 is 60 per cent as determined by circular dichroism. Three molecular transitions have been followed. The one in acid affects only 20 per cent of the helical residues. More profound conformational changes occur in urea solutions (pH 5.2 and 8.0) where most of the helical residues are randomized. There is a close parallel between the behavior of ovine prolactin and bovine growth hormone both in aqueous solutions between pH 2 and 11.5 and in urea solutions at pH 5.2 and 8.0. Based on the similarities in behavior it is proposed that the conformations of these two hormones are homologous.