Figure 1: Flow chart suggesting a possible strategy ... In some cases, more balance between the sequence-based and structure-based methods would be desirable because the sequence-based methods ...

Figure 1: Flow chart and illustrative examples of I-TASSER Suite for protein structure and function modeling. Following the query-to-template alignments, the sequence is divided into threading ...

In Biology 101, we learn that RNA is a single, ribbon-like strand of base pairs that is copied from our DNA and then read like a recipe to build a protein. But there's more to the story.

Designing novel proteins with specific and desired functions is one of the major aims of biotechnology and medicine. However, it presents a complex challenge since protein function is dependent ...

Medical researchers have now, for the first time, determined the sequence and structure of a glycosaminoglycan, or GAG, proteoglycan. If genes provide the blueprint for life and proteins are the ...

This vast chemical and structural space has created significant challenges for rational design of new structures and functions as the underlying molecular scale driving forces that give rise to ...

New deep-learning approach predicts protein structure from amino acid sequence. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 04 / 190417111432.htm ...

While recent breakthroughs such as AlphaFold3 have revolutionized protein and RNA structure prediction, they currently fail to reliably generate correct G-quadruplex structures from sequence alone.

Members of the research community can come to Berkeley Lab's Advanced Light Source (ALS) user facility knowing nothing more than the molecule's nucleotide sequence and get a structure, or they can ...