Marta Filizola
@martafilizola
Followers
2K
Following
2K
Statuses
4K
Professor and Dean @GradSchoolSinai, @IcahnMountSinai, #DrugDesign, #ComputationalBiophysics, #GPCRs, #membraneproteins Views my own
New York, NY
Joined January 2011
Since there has been a lot of misinformation circulating since last night, I find this AAMC infographic helpful in illustrating which types of expenses are and are not covered by NIH indirect cost reimbursements.
1
23
36
NIH plans to slash support for indirect research costs, sending shockwaves through science via @statnews
0
3
3
Trump offers all federal workers a buyout with 7 months’ pay in effort to shrink size of government
0
0
0
That's the way! Educators should embrace technology rather than suppress it because of unclear outcomes and the need for revamped evaluation systems.
Don't you all profs start your course by giving out a homework in the first lecture itself & also encouraging ChatGPT (err DeepSeek) use to solve the homeworks? Excited for a semester of Stat Mech & Chemistry at @UMDscience - more relevant than ever!
0
0
2
RT @tiwarylab: Don't you all profs start your course by giving out a homework in the first lecture itself & also encouraging ChatGPT (err D…
0
3
0
RT @shahanmemon: What is the significance of #postdoc training? What factors drive the success (as measured by citations) of early career s…
0
10
0
RT @JasonSynaptic: Current situation for scientists. Trump’s blanket order to stop communication between institutions like NIH and the publ…
0
266
0
Just one month to go until the 2025 GRS/GRC in Molecular Pharmacology! Get ready for an extraordinary program packed with cutting-edge science and inspiring discussions. Full details here:
0
3
13
RT @cenmag: Martin Karplus, professor of chemistry emeritus at Harvard University and professeur conventionné at the University of Strasbou…
0
48
0
Would you like to discover low-efficacy ligands or biased ligands for GPCRs? Our fine-tuned deep learning models using transfer learning and protein language processing make it possible! | bioRxiv
0
7
22
“while AlphaFold3 shows improved performance over AlphaFold2 in predicting overall GPCR backbone architecture, significant discrepancies persist in ligand-binding poses, particularly for ions, peptides, and proteins. “
0
5
26