ISBN
Formato digital
979-13-87837-54-9
Fecha de publicación
06-10-2025
Licencia
D. R. © Copyright 2025. Alma Y. Alanis, Jorge Galvez, Omar Avalos, Eduardo Méndez-Palos, Jorge D. Rios, Adriana Peña Perez-Negron & Gabriel Martínez Soltero
Todos los contenidos de esta obra se comparten bajo la licencia Creative Commons Atri-bución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0). Esto implica que no está autorizado el uso comercial de la obra original ni de las eventuales obras derivadas, las cuales deberán distribuirse bajo la misma licencia que rige la obra original. No obstante, se permite a terceros compartir el contenido siempre y cuando se reconozca debidamente la autoría y la publicación original en esta editorial.
Mario Axel López Aguiñaga
Universidad de Guadalajara
0000-0001-8501-4847
María Teresa Romero Gutiérrez
Universidad de Guadalajara
0000-0002-4882-7491
Jose Alejandro Morales Valencia
Universidad de Guadalajara
0000-0001-8088-9724
Omar Paredes
Universidad de Guadalajara
0000-0002-5382-6127
Acerca de
RFDiffusion is a denoising diffusion model that allows users to create de novo protein structures from tridimensional Gaussian noise. This model is continuously revolutionizing the way we design proteins that are potentially capable of approaching an immense variety of mod- ern day problems such as drug design, drug delivery, residue manage- ment, biological manufacturing and vaccine design. However; given that no information related to the computational performance of this tool is provided neither in the original Github repository created by the baker-lab nor in the literature related to it and also the lack of a cloud-based version of this tool makes its use a risky task as there is no way to…
find out if the local computers specifications of a laboratory will be enough to drive a proper protein design experiment. In order to evaluate the computational performance of RFDiffusion we installed it in a high-end workstation hosted in our laboratory and performed a series of hallucination experiments, these experiments consisted in fixing a lower limit for the protein’s length in 100 amino acids and if the computer did not display any kind of error in the terminal then 50 additional aminoacids are added to the lower limit. The results show that the operational limit of RFDiffusion is around the 1600 amino acids in length which can be considered an acceptable limit given that most of proteins do not surpass the 1000 amno acids of length and if they do it is in the form of proteic complexes.
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