Identifying 14-3-3 interactome binding sites with deep learning
Laura van Weesep, Rıza Özçelik, Marloes Pennings, et al.
A deep learning model predicts 14-3-3 protein binding sites, validated experimentally via binding assays and crystallography.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Laura van Weesep, Rıza Özçelik, Marloes Pennings, et al.
A deep learning model predicts 14-3-3 protein binding sites, validated experimentally via binding assays and crystallography.
Andrew Birrell, Bruce Jay Nelson
This paper describes the design and implementation of a remote procedure call (RPC) package, covering binding, transport protocol, optimizations, and performance measurements.
Mingdai Yang, Shicheng Fan, Kejing Yu, et al.
Introduces CARP, a reputation-penalty mechanism for LLM marketplace agents that suppresses dishonest sellers' sales without ground truth, and SPARC, a code-gated reflection that makes penalties behaviorally binding.
Karim Abbasi, Parvin Razzaghi, Antti Poso, et al.
DeepCDA uses LSTM and CNNs with adversarial domain adaptation to predict compound-protein binding affinity across different data distributions.