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Faisalsardar1

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bioinformatics course

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from basics to deep in bioinformatics field

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  •  • 6 items • 
  • by faisalsardar1 • 
  • uploaded  2022
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protein design using bioinformatics

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Computer-Based Design of Novel Protein Structures The coming of age of de novo protein design A Brief History of De Novo Protein Design: Minimal, Rational, and Computational

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  • Class notes
  •  • 30 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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thesis topics for bioinformatics & computational biology

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Sample Projects (only accessible to enrolled students): secret thesis topics thesis pipeline bioinformatics thesis pipeline

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  •  • 16 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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x-ray crystallography

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Super-resolution biomolecular crystallography with low-resolution data Improved low-resolution crystallographic refinement with Phenix and Rosetta Computation can contribute to addressing such questions in at least two distinct ways. First, computational analysis is required to extract useful information from experimental measurements. Second, one can use computational techniques to predict structures, dynamics, and important biochemical properties.

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  •  • 30 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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ligand-protein docking & virtual screening

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Ultra-large library docking for discovering new chemotypes Prediction of Protein — Ligand Interactions. Docking and Scoring: Successes and Gaps Glide: A New Approach for Rapid, Accurate Docking and Scoring

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  •  • 31 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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bioinformatics techniques in image analysis

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How can structural information contribute to the design of drugs, proteins, or perhaps even cells? • Reducing image noise • Sharpening images • Image description and classification • Practical image processing tips computational methods for studying spatial organization of cells, including computational analysis of optical microscopy images and video, and simulations at the cellular scale.

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  •  • 36 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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Fourier transforms and convolution

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Computation can contribute to addressing such questions in at least two distinct ways. First, computational analysis is required to extract useful information from experimental measurements. Second, one can use computational techniques to predict structures, dynamics, and important biochemical properties.

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  •  • 39 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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theory of protein prediction

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Improved protein structure prediction using potentials from deep learning Protein Structure Prediction bioinformatic techniques

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  •  • 54 pages • 
  • by faisalsardar1 • 
  • uploaded  2022
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