
Over a two-month period, contributed to the prescient-design/lobster repository by developing two core features focused on antibody modeling and protein language models. Built the Predict Fv PDB Formatter, which processes antibody variable fragments by handling heavy and light chains, generating homodimer sequences, and ensuring correct chain identifiers and residue numbering in PDB files, all implemented and tested in Python. Subsequently integrated the ESMSC-small model into LobsterPMLM, enabling support for Synthyra/ESMplusplus_small with optional bfloat16 precision and a new dataset embedding method. Leveraged skills in PyTorch, deep learning, and PDB file manipulation to enhance model compatibility and workflow reliability.
February 2025 — Prescient Design Lobster: Implemented ESMSC-small model integration in LobsterPMLM, enabling loading and utilization of Synthyra/ESMplusplus_small, optional bfloat16 precision, and a new dataset embedding method. Adjustments were made to accommodate the ESMSC-small model type. A minimal ESMSC-small implementation was delivered (commit 0d0285628ee2fa0065a9fadce646a8036f2ed9c5) (#37). This work broadens model compatibility, accelerates experimentation, and enhances embedding quality for downstream tasks.
February 2025 — Prescient Design Lobster: Implemented ESMSC-small model integration in LobsterPMLM, enabling loading and utilization of Synthyra/ESMplusplus_small, optional bfloat16 precision, and a new dataset embedding method. Adjustments were made to accommodate the ESMSC-small model type. A minimal ESMSC-small implementation was delivered (commit 0d0285628ee2fa0065a9fadce646a8036f2ed9c5) (#37). This work broadens model compatibility, accelerates experimentation, and enhances embedding quality for downstream tasks.
January 2025 monthly summary for prescient-design/lobster focusing on feature delivery and code quality improvements in the antibody modeling pipeline.
January 2025 monthly summary for prescient-design/lobster focusing on feature delivery and code quality improvements in the antibody modeling pipeline.

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