PANINIb v1.0: A Programming and Computational Realization Platform for Biological Systems
Abstract
Academic research poster announcing PANINIb v1.0, an open, modular platform for programming and computational realization of biological systems. PANINIb provides an extensible architectural spine from biological intent and semantic representation through biological resolution, a 77-operation CISC specification, candidate RISC lowering, sequence IR and compilation, multiscale computational execution, phenotype and geometry representation, realization planning, verification, debugging, provenance, and knowledge feedback. The platform explicitly separates computational architecture from evolving scientific knowledge and represents unresolved biology as unresolved rather than inventing sequence or experimental evidence. The v1.0 release includes reproducible computational fixtures, a seeded CPU stochastic simulation engine, biochemical and spatial models, phenotype and geometry pipelines, digital-twin infrastructure, verification and artifact-debugging facilities, and a 164-test baseline. Scientific limitations include unresolved causal genomic realization, limited organism-specific biological coverage, unavailable live reference and wet-lab adapters, and absence of experimental validation for the designed sequence. The release invites collaboration from researchers in developmental biology, genetics, genomics, systems biology, physiology, computational biology, AI, formal methods, simulation, digital twins, scientific software, provider integration, experimental validation, and responsible biological engineering. PANINIb is intended for research use with explicit provenance, uncertainty, safety boundaries, and compliance with applicable laws, institutional review requirements, and biosafety/ethical standards.
