Development of Protein-Specific Analytical Methodologies to Evaluate Compatibility of Recombinant Human (rh)IGF-1/rhIGFBP-3 with Intravenous Medications Co-Administered to Neonates.

The protein complex of recombinant human insulin-like growth factor-1 and insulin­like growth factor binding protein­3 (rhIGF-1/rhIGFBP-3; mecasermin rinfabate), is an investigational product for the prevention of complications of prematurity. Delivery of rhIGF-1/rhIGFBP-3 is by continuous central line intravenous infusion in preterm infants until endogenous IGF-1 production begins. Protein-specific analytical methodologies were developed to evaluate the compatibility of rhIGF-1/rhIGFBP-3 at low protein concentrations (∼2.5-10 µg/mL) expected when co-administered with other required medications in the NICU. Highly sensitive detection of the biologic potential degradants (fragments) and/or molecular modifications (oxidized species, aggregates) required the use of reversed-phase high-performance liquid chromatography and size-exclusion ultra-performance liquid chromatography coupled with mass spectrometric detection. We report on the quantification of rhIGF-1/rhIGFBP-3, its components and degradants, to a limit of quantitation of 3.1 µg/mL upon mixing with 24 commonly administered neonatal medications. Methods developed for the rhIGF-1/rhIGFBP-3 admixtures, optimized in studies with furosemide, caffeine citrate and ampicillin, demonstrated good reproducibility, linearity, and limit of detection/quantitation. Using these methods, no increase in degradation of rhIGF-1/rhIGFBP-3 components and no increase in oxidation or aggregation level was observed with caffeine citrate, while admixtures of rhIGF-1/rhIGFBP-3 with ampicillin yielded lower mass recovery of rhIGF-1/rhIGFBP-3 components, which likely resulted from adduct formation. Furosemide was found to be physically incompatible with rhIGF-1/rhIGFBP-3. Our findings support the use of these methodologies for detection of protein modifications under various clinical administration conditions, and additionally supplement physical compatibility data studies of ultra-low concentrations of rhIGF-1/rhIGFBP-3 post co-administration to preterm infants with other medications (manuscript in-preparation).

Identifying Unknown Enzyme-Substrate Pairs from the Cellular Milieu with Native Mass Spectrometry.

The enzyme-substrate complex is inherently transient, rendering its detection difficult. In our framework designed for bisubstrate systems-isotope-labeled, activity-based identification and tracking (IsoLAIT)-the common substrate, such as S-adenosyl-l-methionine (AdoMet) for methyltransferases, is replaced by an analogue (e.g., S-adenosyl-l-vinthionine) that, as a probe, creates a tightly bound [enzyme⋅substrate⋅probe] complex upon catalysis by thiopurine-S-methyltransferase (TPMT, EC 2.1.1.67). This persistent complex is then identified by native mass spectrometry from the cellular milieu without separation. Furthermore, the probe's isotope pattern flags even unknown substrates and enzymes. IsoLAIT is broadly applicable for other enzyme systems, particularly those catalyzing group transfer and with multiple substrates, such as glycosyltransferases and kinases.

Capturing Unknown Substrates via in Situ Formation of Tightly Bound Bisubstrate Adducts: S-Adenosyl-vinthionine as a Functional Probe for AdoMet-Dependent Methyltransferases.

Identifying an enzyme's substrates is essential to understand its function, yet it remains challenging. A fundamental impediment is the transient interactions between an enzyme and its substrates. In contrast, tight binding is often observed for multisubstrate-adduct inhibitors due to synergistic interactions. Extending this venerable concept to enzyme-catalyzed in situ adduct formation, unknown substrates were affinity-captured by an S-adenosyl-methionine (AdoMet, SAM)-dependent methyltransferase (MTase). Specifically, the electrophilic methyl sulfonium (alkyl donor) in AdoMet is replaced with a vinyl sulfonium (Michael acceptor) in S-adenosyl-vinthionine (AdoVin). Via an addition reaction, AdoVin and the nucleophilic substrate form a covalent bisubstrate-adduct tightly complexed with thiopurine MTase (2.1.1.67). As such, an unknown substrate was readily identified from crude cell lysates. Moreover, this approach is applicable to other systems, even if the enzyme is unknown.

3D pharmacophore based virtual screening of A 2A adenosine receptor antagonists.

A(2A) adenosine receptor (A(2A)AR) antagonists are considered to be useful in cancer immunotherapy and vaccines and as potential drugs for the treatment of Parkinson's disease. To better understand the chemical features responsible for the recognition mechanism and the receptor-ligand interaction, we performed the molecular docking study using selective A(2A)AR antagonists and combined with a pharmacophore based virtual library screening. The putative binding mode for the antagonists served as the templates for pharmacophore modeling and a virtually generated library have been screened for novel A(2A)AR antagonist development.

Molecular docking study of A(3) adenosine receptor antagonists and pharmacophore-based drug design.

Adenosine is known to act as a neuromodulator by suppressing synaptic transmission in the central and peripheral nervous system. A(3) adenosine receptor (A(3)AR) antagonists were recently considered as potential drugs for the treatment of cardiac ischemia and inflammation diseases. To better understand the chemical features responsible for the recognition mechanism and the receptor-ligand interaction, we have performed the molecular simulation study combined with a virtual library screening process to develop novel A(3)AR antagonists. A series of A(3)AR selective antagonists, including triazolopurines, imidazopurines, pyrrolopurines, and quinazolines were employed to dock into the A(3)AR binding site via AUTODOCK software. The putative binding mode for each compound was proposed. Three main hydrophobic pockets, one hydrogen bonding with Asn250, and one pi-pi interaction with Phe168 for all antagonists were identified. The most favorable binding conformations served as the templates for pharmacophore modeling with Catalyst 4.11 and a virtually generated library have been screened for novel antagonist development.