ALLAN ARGELAGOS

Senior Research Associate with a background in nucleic acid chemistry. I hold a Master's in Pharmaceutical Sciences and have hands-on experience in combinatorial chemistry, DNA polymerase assays, and next-generation sequencing-based quality control. My work focuses mainly on improving experimental workflows, generating dependable data, and supporting integrated scientific teams. Over the past three years, I have been actively involved in small molecule drug discovery using DNA-encoded library (DEL) technology. I am currently seeking a full-time position.

• Residue Counter Script, Python, Developed a reusable Python program to count amino acids or nucleobases in FASTA-formatted sequences. Implemented modular design using custom classes and importable modules to generalize residue counting across different sequence types. Used dictionaries, string handling, and file I/O to tabulate and report residue frequencies, enabling use in broader genomic workflows.
• FASTA Reader Utility, Python, Built a script to accurately parse and extract multi-line sequences from FASTA files while handling variable formatting. Applied control flow to detect headers (> lines), manage multiline input, and store sequences using structured data containers (lists/dictionaries).
• Sequence Label Cleaner, Python, Wrote a script to clean up sequence identifiers by removing suffix patterns (e.g., __polypeptide) using basic string manipulation techniques. Utilized loops and conditional logic to scan and edit labels, storing cleaned names in a new list for downstream use.
• Protein Feature Integration Pipeline (Final Project), Python, HMMER, BLAST, TMHMM, Designed and implemented a bioinformatics pipeline to annotate protein sequences using HMMER (conserved domain search), BLAST (homology search), and TMHMM (transmembrane domain prediction). Created individual Python parsers for each tool's output and consolidated results using integrated file output methods.