Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF by Haidi Wang (9694004)

Data_Sheet_1_Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer A... by Gurbet Tutumlu (8691720)

“…The complexes are again ranked based on their MM/GBSA values to select hit molecules for further long MD simulations and in vitro studies. …”

Data_Sheet_3_Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer A... by Gurbet Tutumlu (8691720)

“…The complexes are again ranked based on their MM/GBSA values to select hit molecules for further long MD simulations and in vitro studies. …”

Data_Sheet_2_Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer A... by Gurbet Tutumlu (8691720)

“…The complexes are again ranked based on their MM/GBSA values to select hit molecules for further long MD simulations and in vitro studies. …”

Super.Complex identifies likely protein complexes within a PPI network using a distributed supervised AutoML method. by Meghana Venkata Palukuri (11890672)

Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... by Uttam Khatri (12689072)

Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM by Sebastian Daberdaku (4391767)

“…<br><br><b>seq_descriptors_4.5.tar.gz -</b> Contains the sequence descriptors generated from the antibody structures in the development/validation set which were used for feature selection with the Randomized Logistic Regression algorithm.…”

Raw LC-MS/MS and RNA-Seq Mitochondria data by Stefano Martellucci (16284377)

“…The results were subsequently processed to filter out common contaminants, decoy hits from the reverse database, and protein groups identified by a single peptide. The data were filtered as follows: (a) binary expression of a protein (i.e., protein exclusively identified in either scLRP1+/+ or scLRP1-/-) was only considered relevant if all scLRP1+/+ samples or all scLRP1-/- samples expressed the protein. …”