Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Machine-checked proofs of properties of programming languages have become a critical need, both for increased confidence in large and complex designs and as a foundation for techn...
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
We show how to combine a general purpose type system for an existing language with support for programming with binders and contexts by refining the type system of ML with a rest...
d abstract) Keiko Nakata1 Jacques Garrigue2 1 Kyoto University Research Institute for Mathematical Sciences 2 Graduate School of Mathematics, Nagoya University The ML module syste...