1 Table of Contents: “...Contents: Machine-learning techniques -- Artificial intelligence methods -- Drug discovery...”

2 Table of Contents: “...Data representation in machine learning -- Learning success models -- Overfitting -- Complexity...”

3 “...Substrate recognition and processing by Clp chaperone/protease machines...”

4 “...ATP-dependent chromatin remodeling machines...”

5 Table of Contents: “...Contents: AI vs. ML vs. DL -- The machine learning paradigm -- Supervised vs. unsupervised learning...”

6 Table of Contents: “...The challenge of scale -- Crowdsourcing executable models of practice (publets) -- Machine learning...”

7 Table of Contents: “... active regions (TARs) -- Machine learning models for un-annotated transcription -- Expression clustering...”

8 Table of Contents: “...Setting the state for the genomics era -- Dealing with epistatic interactions -- Machine learning...”

9 Table of Contents: “...Chaperoning steroid receptors; the Hsp90 chaperoning machine -- Hsp90 structure and function...”

10 Table of Contents: “... -- Applications for motor rehabilitation -- Brain-machine interface systems...”

11 Table of Contents: “... different members -- DNAJ family -- Regulation of differentiation of HSP machines to drive client...”

12 Table of Contents: “... -- SVM-MB/RFE: Support Vector Machine- Markov Blanket/Recursive Feature Elimination to identify...”

13 Table of Contents: “... in mutant CFTR are detected by protein quality control machines in the endoplasmic reticulum that target...”

14 Table of Contents: “... and hydrolysis in driving the rings of the machine through cycles of binding and release cycle...”

15 Table of Contents: “... and hydrolysis in driving the rings of the machine through cycles of binding and release cycle...”

16 Table of Contents: “... acetylation, deacetylation and epigenetic inheritance -- Epigenetic xerox machines as potential targets...”

17 Table of Contents: “... tRNA -- The ribosome is a molecular machine...”