{"id":13918,"date":"2024-11-08T21:31:40","date_gmt":"2024-11-09T02:31:40","guid":{"rendered":"https:\/\/ptp.cloud\/?p=13918"},"modified":"2025-06-26T03:13:04","modified_gmt":"2025-06-26T07:13:04","slug":"alphafold-healthomics-life-sciences-optimization","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/alphafold-healthomics-life-sciences-optimization\/","title":{"rendered":"AlphaFold at Scale: How PTP and AWS HealthOmics Transformed Protein Prediction"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Text&#8221; _builder_version=&#8221;4.27.3&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><iframe style=\"width: 1200px; max-width: 100%; height: 550px;\" title=\"AlphaFold Scaling: Revolutionizing Life Sciences with Machine Learning\" src=\"https:\/\/gamma.app\/embed\/a7x7zmpj6gql6yx\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\"><\/span><\/iframe><\/p>\n<h3 data-start=\"749\" data-end=\"767\"><strong data-start=\"753\" data-end=\"765\">Overview<\/strong><\/h3>\n<p data-start=\"768\" data-end=\"1335\">A vaccine company partnered with <a data-start=\"801\" data-end=\"826\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/ptp.cloud\/\">PTP<\/a> to overcome the limitations of their on-premises AlphaFold deployment. By leveraging <a data-start=\"912\" data-end=\"966\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/aws.amazon.com\/healthomics\/\">AWS HealthOmics<\/a>, <a data-start=\"968\" data-end=\"1007\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/aws.amazon.com\/s3\/\">Amazon S3<\/a>, and <a data-start=\"1013\" data-end=\"1047\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/aws.amazon.com\/ec2\/\">EC2<\/a>, PTP delivered a scalable, high-performance solution that drastically accelerated protein structure prediction. The result: 12x faster workflows, 86% cost savings, and the ability to analyze 10x more complex proteins\u2014transforming how this life sciences organization approaches discovery.<\/p>\n<hr data-start=\"1337\" data-end=\"1340\" \/>\n<h3 data-start=\"1342\" data-end=\"1416\"><strong data-start=\"1346\" data-end=\"1414\">The Challenge: Resource Constraints Blocking Scientific Progress<\/strong><\/h3>\n<p><strong data-start=\"1346\" data-end=\"1414\"><\/strong><\/p>\n<h4 data-start=\"1418\" data-end=\"1449\"><strong data-start=\"1423\" data-end=\"1447\">Hardware Limitations<\/strong><\/h4>\n<p data-start=\"1450\" data-end=\"1605\">The company\u2019s research teams struggled with limited access to GPUs, relying on laptops and legacy servers that couldn\u2019t handle AlphaFold\u2019s compute demands.<\/p>\n<h4 data-start=\"1607\" data-end=\"1637\"><strong data-start=\"1612\" data-end=\"1635\">Storage Constraints<\/strong><\/h4>\n<p data-start=\"1638\" data-end=\"1766\">Inadequate on-premises storage prevented simultaneous access to lab datasets, slowing analysis and reducing research throughput.<\/p>\n<h4 data-start=\"1768\" data-end=\"1799\"><strong data-start=\"1773\" data-end=\"1797\">Scaling Difficulties<\/strong><\/h4>\n<p data-start=\"1800\" data-end=\"1950\">As AlphaFold usage grew, their infrastructure couldn\u2019t scale to meet demand, limiting the organization\u2019s ability to support complex protein workflows.<\/p>\n<hr data-start=\"1952\" data-end=\"1955\" \/>\n<h3 data-start=\"1957\" data-end=\"2018\"><strong data-start=\"1961\" data-end=\"2018\">Cloud Migration: Enabling Scalability and Flexibility<\/strong><\/h3>\n<p><strong data-start=\"1961\" data-end=\"2018\"><\/strong><\/p>\n<h4 data-start=\"2020\" data-end=\"2058\"><strong data-start=\"2025\" data-end=\"2056\">Data Migration to Amazon S3<\/strong><\/h4>\n<p data-start=\"2059\" data-end=\"2273\"><a data-start=\"2059\" data-end=\"2129\" rel=\"noopener\" target=\"_new\" class=\"cursor-pointer\">PTP\u2019s CloudOps<\/a> team started by migrating all research data to <a data-start=\"2177\" data-end=\"2216\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/aws.amazon.com\/s3\/\">Amazon S3<\/a>, providing secure, scalable, and durable object storage.<\/p>\n<h4 data-start=\"2275\" data-end=\"2316\"><strong data-start=\"2280\" data-end=\"2314\">EC2-Based AlphaFold Deployment<\/strong><\/h4>\n<p data-start=\"2317\" data-end=\"2548\">AlphaFold was deployed on <a data-start=\"2343\" data-end=\"2384\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/aws.amazon.com\/ec2\/\">Amazon EC2<\/a> instances to validate the viability of cloud-based compute infrastructure. Results showed parity with on-prem performance\u2014opening the door to further optimization.<\/p>\n<h4 data-start=\"2550\" data-end=\"2583\"><strong data-start=\"2555\" data-end=\"2581\">Performance Validation<\/strong><\/h4>\n<p data-start=\"2584\" data-end=\"2759\">Initial tests confirmed that the cloud-based system met or exceeded previous benchmarks. This milestone marked a turning point in adopting a fully cloud-native research stack.<\/p>\n<hr data-start=\"2761\" data-end=\"2764\" \/>\n<h3 data-start=\"2766\" data-end=\"2827\"><strong data-start=\"2770\" data-end=\"2827\">Evaluating Cloud Tools: AWS Batch vs. AWS HealthOmics<\/strong><\/h3>\n<p><strong data-start=\"2770\" data-end=\"2827\"><\/strong><\/p>\n<h4 data-start=\"2829\" data-end=\"2849\"><strong data-start=\"2834\" data-end=\"2847\">AWS Batch<\/strong><\/h4>\n<ul data-start=\"2850\" data-end=\"2987\">\n<li data-start=\"2850\" data-end=\"2888\">\n<p data-start=\"2852\" data-end=\"2888\">Offered flexible, custom workflows<\/p>\n<\/li>\n<li data-start=\"2889\" data-end=\"2932\">\n<p data-start=\"2891\" data-end=\"2932\">Supported bespoke AlphaFold deployments<\/p>\n<\/li>\n<li data-start=\"2933\" data-end=\"2987\">\n<p data-start=\"2935\" data-end=\"2987\">Required heavy manual configuration and management<\/p>\n<\/li>\n<\/ul>\n<h4 data-start=\"2989\" data-end=\"3015\"><strong data-start=\"2994\" data-end=\"3013\">AWS HealthOmics<\/strong><\/h4>\n<ul data-start=\"3016\" data-end=\"3240\">\n<li data-start=\"3016\" data-end=\"3085\">\n<p data-start=\"3018\" data-end=\"3085\">Delivered native <a data-start=\"3035\" data-end=\"3071\" rel=\"noopener\" target=\"_new\" class=\"\" href=\"https:\/\/www.nextflow.io\/\">Nextflow<\/a> integration<\/p>\n<\/li>\n<li data-start=\"3086\" data-end=\"3130\">\n<p data-start=\"3088\" data-end=\"3130\">Included built-in bioinformatics tooling<\/p>\n<\/li>\n<li data-start=\"3131\" data-end=\"3177\">\n<p data-start=\"3133\" data-end=\"3177\">Featured automated security and compliance<\/p>\n<\/li>\n<li data-start=\"3178\" data-end=\"3240\">\n<p data-start=\"3180\" data-end=\"3240\">Reduced operational overhead through managed orchestration<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3242\" data-end=\"3458\"><a data-start=\"3242\" data-end=\"3321\" rel=\"noopener\" target=\"_new\" class=\"cursor-pointer\">PTP\u2019s AWS consulting services<\/a> guided the organization through this decision, ultimately selecting HealthOmics for its turnkey scalability and bioinformatics features.<\/p>\n<hr data-start=\"3460\" data-end=\"3463\" \/>\n<h3 data-start=\"3465\" data-end=\"3529\"><strong data-start=\"3469\" data-end=\"3529\">Implementation: Supercharging AlphaFold with HealthOmics<\/strong><\/h3>\n<p><strong data-start=\"3469\" data-end=\"3529\"><\/strong><\/p>\n<h4 data-start=\"3531\" data-end=\"3575\"><strong data-start=\"3536\" data-end=\"3573\">Multiple High-Performance Servers<\/strong><\/h4>\n<p data-start=\"3576\" data-end=\"3713\">HealthOmics enabled distributed processing across multiple high-performance nodes, scaling beyond what on-premises systems could achieve.<\/p>\n<h4 data-start=\"3715\" data-end=\"3742\"><strong data-start=\"3720\" data-end=\"3740\">GPU Acceleration<\/strong><\/h4>\n<p data-start=\"3743\" data-end=\"3828\">Multiple GPUs were used simultaneously\u2014reducing model computation from days to hours.<\/p>\n<h4 data-start=\"3830\" data-end=\"3856\"><strong data-start=\"3835\" data-end=\"3854\">Rapid Iteration<\/strong><\/h4>\n<p data-start=\"3857\" data-end=\"3991\">Improved infrastructure allowed for faster cycles of research and experimentation, accelerating results without compromising accuracy.<\/p>\n<hr data-start=\"3993\" data-end=\"3996\" \/>\n<h3 data-start=\"3998\" data-end=\"4062\"><strong data-start=\"4002\" data-end=\"4062\">Customizing AlphaFold: Breaking Past Biological Barriers<\/strong><\/h3>\n<p><strong data-start=\"4002\" data-end=\"4062\"><\/strong><\/p>\n<h4 data-start=\"4064\" data-end=\"4100\"><strong data-start=\"4069\" data-end=\"4098\">Addressing Residue Limits<\/strong><\/h4>\n<p data-start=\"4101\" data-end=\"4244\">The standard AlphaFold model supports proteins up to 1,200 residues. This vaccine company needed to analyze proteins with over 12,000 residues.<\/p>\n<h4 data-start=\"4246\" data-end=\"4276\"><strong data-start=\"4251\" data-end=\"4274\">Modifying AlphaFold<\/strong><\/h4>\n<p data-start=\"4277\" data-end=\"4437\"><a data-start=\"4277\" data-end=\"4363\" rel=\"noopener\" target=\"_new\" class=\"cursor-pointer\">PTP&#8217;s cloud engineering team<\/a> customized the AlphaFold source code to support extended residue lengths.<\/p>\n<h4 data-start=\"4439\" data-end=\"4470\"><strong data-start=\"4444\" data-end=\"4468\">Adapting HealthOmics<\/strong><\/h4>\n<p data-start=\"4471\" data-end=\"4610\">Custom scripts were integrated into HealthOmics to run the enhanced AlphaFold pipeline\u2014seamlessly maintaining workflow efficiency at scale.<\/p>\n<p style=\"font-size: 14px; background-color: #ffffff;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/01\/Reference-Architecture-for-Custom-HealthOmics-Deployment.jpg\" width=\"494\" height=\"189\" style=\"margin-right: auto; margin-left: auto; font-size: 14px; background-color: #ffffff; display: block;\" \/><\/p>\n<p>&nbsp;<\/p>\n<hr data-start=\"4612\" data-end=\"4615\" \/>\n<h3 data-start=\"4617\" data-end=\"4681\"><strong data-start=\"4621\" data-end=\"4681\">Infrastructure Overview: Scalable, Secure, and Compliant<\/strong><\/h3>\n<p><strong data-start=\"4621\" data-end=\"4681\"><\/strong><\/p>\n<h4 data-start=\"4683\" data-end=\"4714\"><strong data-start=\"4688\" data-end=\"4712\">AWS HealthOmics Core<\/strong><\/h4>\n<ul data-start=\"4715\" data-end=\"4940\">\n<li data-start=\"4715\" data-end=\"4772\">\n<p data-start=\"4717\" data-end=\"4772\">Centralized orchestration of bioinformatics pipelines<\/p>\n<\/li>\n<li data-start=\"4773\" data-end=\"4815\">\n<p data-start=\"4775\" data-end=\"4815\">Seamless integration with AWS services<\/p>\n<\/li>\n<li data-start=\"4816\" data-end=\"4940\">\n<p data-start=\"4818\" data-end=\"4940\">Enhanced security and <a data-start=\"4840\" data-end=\"4927\" rel=\"noopener\" target=\"_new\" class=\"cursor-pointer\">life sciences compliance<\/a> (HIPAA, GxP)<\/p>\n<\/li>\n<\/ul>\n<h4 data-start=\"4942\" data-end=\"4965\"><strong data-start=\"4947\" data-end=\"4963\">S3 Data Lake<\/strong><\/h4>\n<ul data-start=\"4966\" data-end=\"5127\">\n<li data-start=\"4966\" data-end=\"5014\">\n<p data-start=\"4968\" data-end=\"5014\">Unified storage for raw datasets and results<\/p>\n<\/li>\n<li data-start=\"5015\" data-end=\"5071\">\n<p data-start=\"5017\" data-end=\"5071\">Lifecycle management, versioning, and access control<\/p>\n<\/li>\n<li data-start=\"5072\" data-end=\"5127\">\n<p data-start=\"5074\" data-end=\"5127\">Supports collaboration across teams and researchers<\/p>\n<\/li>\n<\/ul>\n<h4 data-start=\"5129\" data-end=\"5161\"><strong data-start=\"5134\" data-end=\"5159\">EC2 Compute Resources<\/strong><\/h4>\n<p>&nbsp;<\/p>\n<ul data-start=\"5162\" data-end=\"5300\">\n<li data-start=\"5162\" data-end=\"5197\">\n<p data-start=\"5164\" data-end=\"5197\">GPU-powered on-demand computing<\/p>\n<\/li>\n<li data-start=\"5198\" data-end=\"5252\">\n<p data-start=\"5200\" data-end=\"5252\">Flexible configurations tailored to workload needs<\/p>\n<\/li>\n<li data-start=\"5253\" data-end=\"5300\">\n<p data-start=\"5255\" data-end=\"5300\">Rapid provisioning for experimental scaling<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"5302\" data-end=\"5305\" \/>\n<h3 data-start=\"5307\" data-end=\"5339\"><strong data-start=\"5311\" data-end=\"5337\">Transformative Results<\/strong><\/h3>\n<div class=\"_tableContainer_16hzy_1\">\n<div class=\"_tableWrapper_16hzy_14 group flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table data-start=\"5341\" data-end=\"5565\" class=\"w-fit min-w-(--thread-content-width)\">\n<thead data-start=\"5341\" data-end=\"5385\">\n<tr data-start=\"5341\" data-end=\"5385\">\n<th data-start=\"5341\" data-end=\"5363\" data-col-size=\"sm\">Metric<\/th>\n<th data-start=\"5363\" data-end=\"5385\" data-col-size=\"sm\">Improvement<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"5431\" data-end=\"5565\">\n<tr data-start=\"5431\" data-end=\"5475\">\n<td data-start=\"5431\" data-end=\"5453\" data-col-size=\"sm\">Workflow Speed<\/td>\n<td data-start=\"5453\" data-end=\"5475\" data-col-size=\"sm\">12x Faster<\/td>\n<\/tr>\n<tr data-start=\"5476\" data-end=\"5520\">\n<td data-start=\"5476\" data-end=\"5498\" data-col-size=\"sm\">Cost Savings<\/td>\n<td data-start=\"5498\" data-end=\"5520\" data-col-size=\"sm\">86% Reduction<\/td>\n<\/tr>\n<tr data-start=\"5521\" data-end=\"5565\">\n<td data-start=\"5521\" data-end=\"5543\" data-col-size=\"sm\">Protein Complexity<\/td>\n<td data-start=\"5543\" data-end=\"5565\" data-col-size=\"sm\">10x More Residues<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-size: 14px;\">By scaling AlphaFold in the cloud and tailoring it to scientific needs, PTP helped this life sciences company remove computational barriers, reduce costs, and accelerate discovery.<\/span><\/p>\n<\/div>\n<\/div>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f2f2f2&#8243; custom_margin=&#8221;27px|auto||auto||&#8221; custom_padding=&#8221;18px|18px|18px|18px|true|true&#8221; border_radii=&#8221;on|5px|5px|5px|5px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<h4 data-start=\"5754\" data-end=\"5850\"><strong data-start=\"5758\" data-end=\"5848\">Accelerate your scientific research with cloud infrastructure built for life sciences.<\/strong><\/h4>\n<p data-start=\"5851\" data-end=\"6013\">PTP combines AWS HealthOmics, secure architecture, and managed cloud services for life sciences to reduce cost and speed discovery.<\/p>\n[\/et_pb_text][dsm_button button_one_text=&#8221;\ud83d\udc49 Request your Free Cloud Assessment&#8221; button_one_url=&#8221;https:\/\/ptp.cloud\/services\/cloudops\/cloud-assessment\/&#8221; button_two_text=&#8221;\ud83d\udc49 PTP&#8217;s AWS Marketplace Offers&#8221; button_two_url=&#8221;https:\/\/aws.amazon.com\/marketplace\/seller-profile?id=40aef862-90e2-4a5f-9d98-2ef74b6cbf15&#8243; button_alignment=&#8221;left&#8221; separator_text=&#8221;or explore&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_button_one=&#8221;on&#8221; button_one_text_size=&#8221;14px&#8221; button_one_text_color=&#8221;#ffffff&#8221; button_one_bg_color=&#8221;#0eabf4&#8243; button_one_border_width=&#8221;0px&#8221; button_one_border_radius=&#8221;3px&#8221; button_one_font=&#8221;|600|||||||&#8221; button_one_use_icon=&#8221;off&#8221; button_one_custom_margin=&#8221;|11px|||false|false&#8221; custom_button_two=&#8221;on&#8221; button_two_text_size=&#8221;14px&#8221; button_two_text_color=&#8221;#ffffff&#8221; button_two_bg_color=&#8221;#0eabf4&#8243; button_two_border_width=&#8221;0px&#8221; button_two_border_radius=&#8221;3px&#8221; button_two_font=&#8221;|600|||||||&#8221; button_two_use_icon=&#8221;off&#8221; custom_margin=&#8221;|||0px|false|false&#8221; box_shadow_style_button_one=&#8221;preset2&#8243; box_shadow_style_button_two=&#8221;preset2&#8243; box_shadow_blur_button_two=&#8221;19px&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>Overview A vaccine company partnered with PTP to overcome the limitations of their on-premises AlphaFold deployment. By leveraging AWS HealthOmics, Amazon S3, and EC2, PTP delivered a scalable, high-performance solution that drastically accelerated protein structure prediction. The result: 12x faster workflows, 86% cost savings, and the ability to analyze 10x more complex proteins\u2014transforming how this [&hellip;]<\/p>\n","protected":false},"author":445,"featured_media":13956,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<iframe style=\"width: 1200px; max-width: 100%; height: 550px;\" title=\"AlphaFold Scaling: Revolutionizing Life Sciences with Machine Learning\" src=\"https:\/\/gamma.app\/embed\/a7x7zmpj6gql6yx\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe>\r\n\r\n\u00a0\r\n<h2><\/h2>\r\n<strong>Vaccine Company, Inc.<\/strong> partners with <strong>PTP<\/strong> to optimize AlphaFold deployment, leveraging <strong>AWS HealthOmics<\/strong> for enhanced protein structure prediction. The result: accelerated research and significant cost savings in life sciences.\r\n<h3>The Challenge: Limited Resources Hindering Progress<\/h3>\r\n<strong>1. Hardware Limitations<\/strong>\r\nVaccine Company struggled with insufficient GPU access on laptops and servers, severely impacting AlphaFold's performance.\r\n\r\n<strong>2. Storage Constraints<\/strong>\r\nInadequate storage prevented simultaneous access to all lab data, hindering comprehensive analysis and slowing research progress.\r\n\r\n<strong>3. Scaling Difficulties<\/strong>\r\nOn-premises infrastructure couldn't meet the growing demands of AlphaFold workloads, making scalability a critical challenge.\r\n\r\n<hr \/>\r\n\r\n<h3>Cloud Migration: Paving the Way for Scalability<\/h3>\r\n<strong>1. Data Migration to S3<\/strong>\r\nPTP initiated the process by moving Vaccine Company's data to <strong>Amazon S3<\/strong>, ensuring scalable, secure storage.\r\n\r\n<strong>2. EC2 Deployment<\/strong>\r\nAlphaFold was deployed on <strong>EC2 instances<\/strong>, validating the feasibility of cloud-based operations.\r\n\r\n<strong>3. Performance Validation<\/strong>\r\nCloud deployment proved comparable to on-premises systems, encouraging further optimization efforts.\r\n\r\n<hr \/>\r\n\r\n<h3>Evaluating Solutions: AWS Batch vs. HealthOmics<\/h3>\r\n<strong>AWS Batch<\/strong>\r\n<ul>\r\n \t<li>Offered a bespoke deployment solution.<\/li>\r\n \t<li>Provided flexibility for custom workflows.<\/li>\r\n \t<li>Required more manual configuration and management.<\/li>\r\n<\/ul>\r\n<strong>AWS HealthOmics<\/strong>\r\n<ul>\r\n \t<li>Leveraged built-in security features.<\/li>\r\n \t<li>Offered superior storage capabilities.<\/li>\r\n \t<li>Provided native access to bioinformatics tools.<\/li>\r\n \t<li>Managed <strong>NextFlow<\/strong> deployment, reducing operational costs.<\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h3>HealthOmics Implementation: Boosting Computational Power<\/h3>\r\n<strong>Multiple Servers<\/strong>\r\nHealthOmics provided access to a distributed network of high-performance servers, exponentially increasing processing capacity.\r\n\r\n<strong>GPU Acceleration<\/strong>\r\nMultiple GPUs were harnessed simultaneously, dramatically reducing computation time from days to hours.\r\n\r\n<strong>Rapid Results<\/strong>\r\nEnhanced infrastructure allowed for faster iteration through research workflows, accelerating the pace of scientific discovery.\r\n\r\n<hr \/>\r\n\r\n<h3>Custom AlphaFold Deployment: Breaking Barriers<\/h3>\r\n<strong>Identify Limitations<\/strong>\r\nThe standard AlphaFold's 1200-residue limit was insufficient for Vaccine Company's complex projects.\r\n\r\n<strong>Customize AlphaFold<\/strong>\r\nPTP modified AlphaFold to support over 12,000 residues, enabling analysis of larger, more complex proteins.\r\n\r\n<strong>Adapt HealthOmics<\/strong>\r\nScripts were adjusted to accommodate the custom AlphaFold version, ensuring seamless integration with HealthOmics.\r\n\r\n<img class=\"aligncenter\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/11\/amazon-s3.jpg\" \/>\r\n<h3>Infrastructure Overview: Streamlined and Scalable<\/h3>\r\n<strong>AWS HealthOmics Core<\/strong>\r\n<ul>\r\n \t<li>Centralized management of bioinformatics workflows.<\/li>\r\n \t<li>Seamless integration with other AWS services.<\/li>\r\n \t<li>Enhanced security and compliance features.<\/li>\r\n<\/ul>\r\n<strong>S3 Data Lake<\/strong>\r\n<ul>\r\n \t<li>Scalable storage for raw data and results.<\/li>\r\n \t<li>Efficient data access and sharing.<\/li>\r\n \t<li>Supports versioning and lifecycle management.<\/li>\r\n<\/ul>\r\n<strong>EC2 Compute Resources<\/strong>\r\n<ul>\r\n \t<li>On-demand scalable compute power.<\/li>\r\n \t<li>GPU-accelerated instances for AlphaFold.<\/li>\r\n \t<li>Flexible configuration options to match workload demands.<\/li>\r\n<\/ul>\r\n\r\n<hr \/>\r\n\r\n<h3>Transformative Results: Accelerating Scientific Discovery<\/h3>\r\n<table>\r\n<thead>\r\n<tr>\r\n<th><strong>Metric<\/strong><\/th>\r\n<th><strong>Improvement<\/strong><\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td><strong>Workflow Speed<\/strong><\/td>\r\n<td>12x Faster<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Cost Savings<\/strong><\/td>\r\n<td>86% Reduction<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Protein Complexity<\/strong><\/td>\r\n<td>10x Increase in Residues<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[12,189],"tags":[],"table_tags":[],"class_list":["post-13918","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-for-life-sciences-archive","category-blog-archive"],"yoast_head":"<!-- This site is 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