Abstract: A computing system includes a processor and a memory having stored thereon a trained machine-learned model and instructions that, when executed by the one or more processors, cause the computing system to process a biomolecule sequence variant to predict binding characteristics, identify biomolecule sequence variants of interest; and provide the biomolecule sequence variants of interest as output. A computer-implemented method for training a machine learning model to identify biomolecule sequence variants of interest includes generating biomolecule sequence variants, receiving screening data; and training the machine learning model to predict binding characteristics of an input biomolecule sequence variant.

Abstract: A network protocol and architecture for extending trust between cloud domains of a same entity comprises adding, by egress logic executing on a first server, authentication information to a packet leaving a first cloud domain of the entity to indicate a source of the packet. The egress logic allows the packet to traverse to a target cloud domain of the entity. Ingress logic executing on a second server at the target cloud domain intercepts the packet and performs validation of the authentication information. Responsive to the authentication information passing validation, the ingress logic determines that the first cloud domain is trusted and allows the packet to proceed to a destination. Responsive to the authentication information failing validation, the ingress logic rejects the packet.

Abstract: Embodiments disclosed herein provide methods, including computer-implemented methods, for designing guide sequence which may be incorporated into custom, large scale guide sequence libraries. The methods require only a list of target genes as input and utilize on target and off target scores to generate an optimal set of guide sequences for a set of target genes. In certain embodiments, the methods may also utilize multi-tissue RNA-sequencing data and/or protein annotation to design targets to genes that are highly expressed and/or contain a functional protein domain. The invention further comprises guide libraries, cells comprising said guide libraries. Computer-implemented embodiments further improve computer system function by reducing excessive user wait time through the use of data structures that reduce search from linear to logarithmic time.